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@InProceedings{Bassiouni:1988:SDC,
author = "M. A. Bassiouni and N. Ranganathan and A. Mukherjee",
title = "A scheme for data compression in supercomputers",
crossref = "IEEE:1988:PSN",
volume = "1",
pages = "272278",
year = "1988",
bibdate = "Thu Apr 16 07:55:03 MDT 1998",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
classification = "C1260 (Information theory); C5440 (Multiprocessor
systems and techniques)",
corpsource = "Dept. of Comput. Sci., Central Florida Univ., Orlando,
FL, USA",
keywords = "communication bandwidth; communication controllers;
data compression; encoding; enhanced arithmetic coding
scheme; parallel processing; supercomputers; VLSI
designs",
sponsororg = "IEEE; ACM",
treatment = "P Practical",
}!C
@PhdThesis{Chen:1991:EDC,
author = "Ji Chen",
title = "The effect of data compression on image quality in
highresolution digital chest radiography",
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@MastersThesis{Prountzos:1986:DIM,
author = "Demetrios A. Prountzos",
title = "The Design and Implementation of a Microprocessor
Based Data Compression System",
type = "{M.E.E.} thesis",
school = "The Cooper Union for the Advancement of Science and
Art",
address = "New York, NY, USA",
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http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
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acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "1329773",
subject = "Electrical engineering",
}?
@InProceedings{Kaun7o
@InProceedings{Ghido:2004:EAL,
author = "F. Ghido",
title = "An efficient algorithm for lossless compression of
{IEEE} float audio",
crossref = "Storer:2004:DCC",
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@Article{Schwartz:2011:IFI,
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volume = "11",
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pages = "571587",
month = oct,
year = "2011",
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http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ijig.bib",
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}l= "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
fjournal = "Mathematische Annalen",
language = "German",
rawdata1 = "Heath, F. G. (1972) ``Origins of the Binary Code,''
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Hilbert, D. (1891) ``Ueber stetige Abbildung einer
Linie auf ein Fl{\"a}chenst{\"u}ck,'' {\it Math.
Annalen}, {\bf38}:459460.",
rawdata2 = "Hilbert, D. (1891) ``Ueber stetige Abbildung einer
Linie auf ein Fl{\"a}chenst{\"u}ck,'' {\it Math.
Annalen}, {\bf38}:459460.",
}
d idX 3)a!57E};7iarticledatacompression.bibPeano:1890:CQRG. PeanoSur une Courbe Qui Remplit Toute une Aire plane. (French) [On a Curve that Completely Fills a Planar Area]jMATHANN361571601890MAANA300255831 (print), 14321807 (electronic) OR 00255831 (print), 14321807 (electronic)00255831 OR 00255831Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTMathematische AnnalenFrenchackdsG. PeanoSur une Courbe Qui Remplit Toute une Aire plane. ({French}) [{On} a Curve that Completely Fills a Planar Area]
@Article{Peano:1890:CQR,
author = "G. Peano",
title = "Sur une Courbe Qui Remplit Toute une Aire plane.
({French}) [{On} a Curve that Completely Fills a Planar
Area]",
journal = jMATHANN,
volume = "36",
pages = "157160",
year = "1890",
CODEN = "MAANA3",
ISSN = "00255831 (print), 14321807 (electronic)",
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}W 31=++E};=+!bookdatacompression.bibdellaPorta:1558:MNGiambattista della PortaMagia NaturalisNaples[, Italy]1558Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTFirst edition, four volumes 1558, second edition, 20 volumes 1589. Translated by Thomas Young and Samuel Speed, booktitle Natural Magick by John Baptista Porta, a Neopolitane, London 1658ackdsGiambattista della PortaFirst edition, four volumes 1558, second edition, 20 volumes 1589. Translated by Thomas Young and Samuel Speed, \booktitle{Natural Magick by John Baptista Porta, a Neopolitane}, London 1658Magia Naturalis
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rawdata2 = "Hilbert, D. (1891) ``Ueber stetige Abbildung einer
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title = "Sur une Courbe Qui Remplit Toute une Aire plane.
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title = "{Zur Theorie der Orthogonalen Funktionensysteme}.
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and Edward. H. Adelson (1990) ``Subband Transforms,''
{\it Subband Coding}, John Woods, ed., Boston, MA,
Kluwer Academic Press, pp. 143192.",
xxtitle = "Sur Une Nouvelle Courbe Qui Remplit Toute Une Aire
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UW 31%5!E};%Ygarticledatacompression.bibOsterberg:1935:TLRG. OsterbergTopography of the Layer of Rods and Cones in the Human RetinaActa Ophthalmologica(suppl. 6)11031935Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsG. OsterbergTopography of the Layer of Rods and Cones in the Human Retina
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}
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articledatacompression.bibHecht:1942:EQVS. Hecht and S. Schlaer and M. H. PirenneEnergy, Quanta and VisionjJOPTSOCAM381962081942JOSAAH00303941 OR 00303941Sat Jan 26 12:46:12 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:12 MSTJournal of the Optical Society of AmericaackdsS. Hecht and S. Schlaer and M. H. PirenneEnergy, Quanta and Vision
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author = "Ernest Vincent Wright",
title = "{Gadsby}; a story of over 50,000 words without using
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##ZZ 3//Y17/!CG;IO/SY#articledatacompression.bibShannon:1948:MTCaClaude E. ShannonA Mathematical Theory of CommunicationjBELLSYSTTECHJ273379423jul71948BSTJAN00058580 OR 0005858060.0X0026286 (10,133e)J. L. DoobTue Nov 9 11:15:54 MST 2010http://bstj.belllabs.com/oldfiles/year.1948/BSTJ.1948.2703.html; http://www.alcatellucent.com/bstj/vol271948/bstjvol27issue03.html; http://www.math.utah.edu/pub/bibnet/authors/s/shannonclaudeelwood.bib; http://www.math.utah.edu/pub/bibnet/authors/t/tukeyjohnw.bib; http://www.math.utah.edu/pub/tex/bib/annhistcomput.bib; http://www.math.utah.edu/pub/tex/bib/bstj1940.bib; http://www.math.utah.edu/pub/tex/bib/cryptography.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/mathcw.bib2010.11.09 11:15:54 MSTReprinted in cite Slepian:1974:KPD. From the first page: ``If the base $2$ is used the resulting units may be called binary digits, or more briefly, em bits, a word suggested by J. W. Tukey.''. This is the first known printed instance of the word `bit' with the meaning of binary digit.http://bstj.belllabs.com/BSTJ/images/Vol27/bstj273379.pdf; http://www.alcatellucent.com/bstj/vol271948/articles/bstj273379.pdfThe Bell System Technical JournalackdsClaude Elwood Shannon (April 30, 1916February 24, 2001)http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)15387305/issues/Claude E. ShannonReprinted in \cite{Slepian:1974:KPD}. From the first page: ``If the base $2$ is used the resulting units may be called binary digits, or more briefly, {\em bits}, a word suggested by J. W. Tukey.''. This is the first known printed instance of the word `bit' with the meaning of binary digit.A Mathematical Theory of Communication
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@PhdThesis{Davisson:1964:TDC,
author = "Lee David Davisson",
title = "Theory of Data Compression",
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address = "Los Angeles, CA, USA",
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author = "N. Abramson",
title = "Information Theory and Coding",
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address = pubMCGRAWHILL:adr,
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3MJincollectiondatacompression.bibVorobev:1961:FNNikolai N. VorobevIan Naismith SneddonFibonacci NumbersFibonacci Numbers2Pergamon PressOxford, UKviii + 6619610932750036 OR 09327500369780932750037 OR 9780932750037QA241 .V613 1961Mon Jan 28 18:47:14 MST 2013fsz3950.oclc.org:210/WorldCat; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/fibquart.bib2013.01.28 18:47:14 MSTTranslation by Halina Moss. Reprinted in cite Vorobev:1983:FN.Popular lectures in mathematics seriesackdsNikolai N. Vorobev{Fibonacci} NumbersIan Naismith SneddonTranslation by Halina Moss. Reprinted in \cite{Vorobev:1983:FN}.{Fibonacci} Numbers
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Aa application to the problem of defining a patternless
sequence is proposed in terms of the concepts here
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@Article{Eisenberger:1967:CSS,
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abstract = "The ``information explosion'' noted in recent years
makes it essential that storage requirements for all
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rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
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for the automatic compression of numerical data, ANPAK
for the automatic compression of ``any'' information,
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abstract = "The ``information explosion'' noted in recent years
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information be kept to a minimum. A fully automatic and
rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
automatically decode the compressed information on an
itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
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for the automatic compression of ``any'' information,
and IOPAK for further compression of information to be
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s/W '3+7==/5E1;7=mastersthesisdatacompression.bibHusson:1970:DCSGeorges Eugene HussonData compression systemsDip.Eng. (Elec.), M.Eng.McGill UniversityMontreal, QC, Canadaiii + 1251970Mon Jan 28 15:10:29 MST 2013amicus.nlcbnc.ca:210/NL; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.28 15:10:29 MSThttp://digitool.library.mcgill.ca/thesisfile49103.pdf; http://www.collectionscanada.ca/obj/thesescanada/vol1/QMM/TCQMM49103.pdfacknhfbGeorges Eugene HussonData compression systems
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title = "Data compression systems",
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99D2^3+C57Ee;[?g/c#[CKarticledatacompression.bibAmidon:1971:ASBE. L. Amidon and G. S. AkinAlgorithmic Selection of the Best Method for Compressing Map Data StringsjCACM1412769774dec121971CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Mon Jan 22 06:21:16 MST 2001http://dblp.unitrier.de/db/journals/cacm/cacm14.html#AmidonA71; http://www.math.utah.edu/pub/tex/bib/cacm1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2001.01.22 06:21:16 MSTThe best of a dozen different methods for compressing map data is illustrated. The choices are generated by encoding data stringssequence of like codesby three methods and in four directions. Relationships are developed between compression alternatives to avoid comparing all of them. The technique has been used to compress data from forest resource maps, but is widely applicable to map and photographic data reduction.Communications of the ACMdata compression; data reduction; data reduction and analysis; data strings; forest resource maps; information retrieval; input/output; map; map storage; run coding; storageacknhfbC6130 (Data handling techniques); C7890 (Other special applications of computing)Pacific Southwest Forest and Range Experiment Station, Berkeley, CA, USAhttp://portal.acm.org/browse_dl.cfm?idx=J79P PracticalThe best of a dozen different methods for compressing map data is illustrated. The choices are generated by encoding data stringssequence of like codesby three methods and in four directions. Relationships are developed between compression alternatives to avoid comparing all of them. The technique has been used to compress data from forest resource maps, but is widely applicable to map and photographic data reduction.E. L. Amidon and G. S. AkinAlgorithmic Selection of the Best Method for Compressing Map Data Strings
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K1KcBW '3+[%E};[?inproceedingsdatacompression.bibFaller:1973:ASDN. FallerRecord of the 7th Asilomar Conference on Circuits, Systems, and ComputersAn Adaptive System for Data CompressionpubIEEEpubIEEE:adr5935971973Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsN. FallerRecord of the 7th Asilomar Conference on Circuits, Systems, and ComputersAn Adaptive System for Data Compression
@InProceedings{Faller:1973:ASD,
author = "N. Faller",
booktitle = "Record of the 7th Asilomar Conference on Circuits,
Systems, and Computers",
title = "An Adaptive System for Data Compression",
publisher = pubIEEE,
address = pubIEEE:adr,
pages = "593597",
year = "1973",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Faller N. (1973) ``An Adaptive System for Data
Compression,'' {\it Record of the 7th Asilomar
Conference on Circuits, Systems, and Computers}, pp.
593597.",
}LAX 33'977Ec;s'articledatacompression.bibZeckendorf:1972:RNNE. ZeckendorfRepresentation des Nombres naturels par une Somme de Nombres de Fibonacci ou de Nombres de Lucas. (French) [Representation of the natural numbers by a sum of Fibonacci or Lucas numbers]jBULLSOCRSCILIEGE411791821972BSRSA600379565 OR 0037956500379565 OR 00379565Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/fibquart.bib2013.01.26 12:46:16 MSTBulletin de la Societe royale des sciences de LiegeFrenchackdsE. ZeckendorfRepr{\'e}sentation des Nombres naturels par une Somme de Nombres de {Fibonacci} ou de Nombres de {Lucas}. ({French}) [{Representation} of the natural numbers by a sum of {Fibonacci} or {Lucas} numbers]
@Article{Zeckendorf:1972:RNN,
author = "E. Zeckendorf",
title = "Repr{\'e}sentation des Nombres naturels par une Somme
de Nombres de {Fibonacci} ou de Nombres de {Lucas}.
({French}) [{Representation} of the natural numbers by
a sum of {Fibonacci} or {Lucas} numbers]",
journal = jBULLSOCRSCILIEGE,
volume = "41",
pages = "179182",
year = "1972",
CODEN = "BSRSA6",
ISSN = "00379565",
ISSNL = "00379565",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/fibquart.bib",
acknowledgement = ackds,
fjournal = "Bulletin de la Soci{\'e}t{\'e} royale des sciences de
Li{\`e}ge",
language = "French",
rawdata = "Zeckendorf, E. (1972) ``Repr\'esentation des Nombres
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Nombres de Lucas,'' {\it Bull. Soc. Roy. Sci. Li\`ege},
{\bf41}:179182.",
}c)",
ISSNL = "00104620",
bibdate = "Sat Oct 07 17:13:59 2000",
bibsource = "http://www.math.utah.edu/pub/tex/bib/compj.bib;
http://www.math.utah.edu/pub/tex/bib/compj1970.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www3.oup.co.uk/computer_journal/hdb/Volume_16/Issue_03/",
note = "See \cite{Wells:1972:FCU}.",
URL = "http://www3.oup.co.uk/computer_journal/hdb/Volume_16/Issue_03/tiff/287.tif",
acknowledgement = acknhfb,
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
}C
GDV 3)U#77E%;e3!9Ygarticledatacompression.bibGrimm:1973:ALPRichard E. GrimmThe Autobiography of Leonardo PisanojFIBQUART11199104feb21973FIBQAU00150517 OR 0015051700150517 OR 00150517Sat Jan 26 12:46:16 MST 2013http://www.fq.math.ca/111.html; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/fibquart.bib2013.01.26 12:46:16 MSThttp://www.fq.math.ca/Scanned/111/grimm.pdfFibonacci QuarterlyackdsFib. Quarthttp://www.fq.math.ca/Richard E. GrimmThe Autobiography of {Leonardo Pisano}
@Article{Grimm:1973:ALP,
author = "Richard E. Grimm",
title = "The Autobiography of {Leonardo Pisano}",
journal = jFIBQUART,
volume = "11",
number = "1",
pages = "99104",
month = feb,
year = "1973",
CODEN = "FIBQAU",
ISSN = "00150517",
ISSNL = "00150517",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.fq.math.ca/111.html;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/fibquart.bib",
URL = "http://www.fq.math.ca/Scanned/111/grimm.pdf",
acknowledgement = ackds # " and " # acknhfb,
ajournal = "Fib. Quart",
fjournal = "Fibonacci Quarterly",
journalURL = "http://www.fq.math.ca/",
rawdata = "Grimm, R. E. (1973) ``The Autobiography of Leonardo
Pisano,'' {\it Fibonacci Quarterly},
{\bf11}(1):99104, February.",
}/CZ 3K_57=E;=!5OKAWarticledatacompression.bibGibbons:1973:CFCCharles J. Gibbons and M. WellsCorrespondence: On ``File Compression Using Variable Length Encodings''jCOMPJ163287287aug81973CMPJA6http://dx.doi.org/10.1093/comjnl/16.3.28700104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Sat Oct 07 17:13:59 2000http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_16/Issue_03/2000.10.07 17:13:59 ???See cite Wells:1972:FCU.http://www3.oup.co.uk/computer_journal/hdb/Volume_16/Issue_03/tiff/287.tifThe Computer Journalacknhfbhttp://comjnl.oxfordjournals.org/Charles J. Gibbons and M. WellsSee \cite{Wells:1972:FCU}.Correspondence: On {``File Compression Using Variable Length Encodings''}
@Article{Gibbons:1973:CFC,
author = "Charles J. Gibbons and M. Wells",
title = "Correspondence: On {``File Compression Using Variable
Length Encodings''}",
journal = jCOMPJ,
volume = "16",
number = "3",
pages = "287287",
month = aug,
year = "1973",
CODEN = "CMPJA6",
DOI = "http://dx.doi.org/10.1093/comjnl/16.3.287",
ISSN = "00104620 (print), 14602067 (electronic)",
ISSNL = "00104620",
bibdate = "Sat Oct 07 17:13:59 2000",
bibsource = "http://www.math.utah.edu/pub/tex/bib/compj.bib;
http://www.math.utah.edu/pub/tex/bib/compj1970.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www3.oup.co.uk/computer_journal/hdb/Volume_16/Issue_03/",
note = "See \cite{Wells:1972:FCU}.",
URL = "http://www3.oup.co.uk/computer_journal/hdb/Volume_16/Issue_03/tiff/287.tif",
acknowledgement = acknhfb,
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
}w.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/fibquart.bib",
URL = "http://www.fq.math.ca/Scanned/111/grimm.pdf",
acknowledgement = ackds # " and " # acknhfb,
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}D
`%GV 3'1k%7C7;e#1kYphdthesisdatacompression.bibPore:1973:FADMichael David PoreFactor Analysis as a Data Compression TechniquePh.D. thesisTexas Tech UniversityLubbock, TX, USA3811973Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302771096MathematicsacknhfbMichael David PoreFactor Analysis as a Data Compression Technique
@PhdThesis{Pore:1973:FAD,
author = "Michael David Pore",
title = "Factor Analysis as a Data Compression Technique",
type = "{Ph.D.} thesis",
school = "Texas Tech University",
address = "Lubbock, TX, USA",
pages = "381",
year = "1973",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302771096",
acknowledgement = acknhfb,
classification = "0405: Mathematics",
dissertationthesisnumber = "7405821",
subject = "Mathematics",
}XFX 3)+!CQE;+Wbookdatacompression.bibKnuth:1973:ACPDonald E. KnuthThe Art of Computer Programming, Volume 1, Fundamental AlgorithmspubAWpubAW:adrSecondxxi + 63419730201038218 OR 02010382189780201038217 OR 9780201038217Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/bibnet/subjects/accstabnumalg.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsDonald E. KnuthThe Art of Computer Programming, Volume 1, Fundamental Algorithms
@Book{Knuth:1973:ACP,
author = "Donald E. Knuth",
title = "The Art of Computer Programming, Volume 1, Fundamental
Algorithms",
publisher = pubAW,
address = pubAW:adr,
edition = "Second",
pages = "xxi + 634",
year = "1973\noopsort{a}",
ISBN = "0201038218",
ISBN13 = "9780201038217",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/bibnet/subjects/accstabnumalg.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds # " and " # acknhfb,
rawdata = "Knuth, Donald E. (1973) {\it The Art of Computer
Programming}, Vol. 1, 2nd Ed., Reading, MA,
AddisonWesley.",
}BEX 3/7%3/C7;e37iphdthesisdatacompression.bibJoglekar:1973:DCRAnil Narayan JoglekarData Compression In Recursive Estimation with Applications to Navigation SystemsPh.D. thesisStanford UniversityStanford, CA, USA1491973Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/302696388Aerospace materialsacknhfbAnil Narayan JoglekarData Compression In Recursive Estimation with Applications to Navigation Systems
@PhdThesis{Joglekar:1973:DCR,
author = "Anil Narayan Joglekar",
title = "Data Compression In Recursive Estimation with
Applications to Navigation Systems",
type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "149",
year = "1973",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302696388",
acknowledgement = acknhfb,
classification = "0538: Aerospace materials",
dissertationthesisnumber = "7406491",
subject = "Aerospace materials",
}
yIY3)[=3_57E3;WI[[Aarticledatacompression.bibAhmed:1974:DCTN. Ahmed and T. Natarajan and K. R. RaoDiscrete Cosine TransfomjIEEETRANSCOMPUTC2319093jan11974ITCOB4http://dx.doi.org/10.1109/TC.1974.22378400189340 (print), 15579956 (electronic) OR 00189340 (print), 15579956 (electronic)00189340 OR 00189340Sat Jan 26 12:46:16 MST 2013http://www.computer.org/tc/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ieeetranscomput1970.bib2013.01.26 12:46:16 MSTSee comments cite Shanmugam:1975:CDC.http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1672377IEEE Transactions on Computersackdshttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=12N. Ahmed and T. Natarajan and K. R. RaoSee comments \cite{Shanmugam:1975:CDC}.{Discrete Cosine Transfom}
@Article{Ahmed:1974:DCT,
author = "N. Ahmed and T. Natarajan and K. R. Rao",
title = "{Discrete Cosine Transfom}",
journal = jIEEETRANSCOMPUT,
volume = "C23",
number = "1",
pages = "9093",
month = jan,
year = "1974",
CODEN = "ITCOB4",
DOI = "http://dx.doi.org/10.1109/TC.1974.223784",
ISSN = "00189340 (print), 15579956 (electronic)",
ISSNL = "00189340",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.computer.org/tc/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ieeetranscomput1970.bib",
note = "See comments \cite{Shanmugam:1975:CDC}.",
URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1672377",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "IEEE Transactions on Computers",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=12",
rawdata1 = "Ahmed, N., T. Natarajan, and R. K. Rao (1974)
``Discrete Cosine Transform,'' {\it IEEE Transactions
on Computers}, {\bf C23}:9093.",
rawdata2 = "Ahmed, N., T. Natarajan, and R. K. Rao (1974)
``Discrete Cosine Transform,'' {\it IEEE Transactions
on Computers} C23:9093.",
}yHX 3'5S%3/C7;e95Sphdthesisdatacompression.bibWang:1973:SSTRobert Tien Pei WangA Study of the Structure of Television Pictures as Applied to Practical Data Compression TechniquesPh.D. thesisStanford UniversityStanford, CA, USA1061973Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302674792Electrical engineeringacknhfbRobert Tien Pei WangA Study of the Structure of Television Pictures as Applied to Practical Data Compression Techniques
@PhdThesis{Wang:1973:SST,
author = "Robert Tien Pei Wang",
title = "A Study of the Structure of Television Pictures as
Applied to Practical Data Compression Techniques",
type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "106",
year = "1973",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302674792",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "7314996",
subject = "Electrical engineering",
} "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.computer.org/tc/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ieeetranscomput1970.bib",
note = "See comments \cite{Shanmugam:1975:CDC}.",
URL = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1672377",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "IEEE Transactions on Computers",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=12",
rawdata1 = "Ahmed, N., T. Natarajan, and R. K. Rao (1974)
``Discrete Cosine Transform,'' {\it IEEE Transactions
on Computers}, {\bf C23}:9093.",
rawdata2 = "Ahmed, N., T. Natarajan, and R. K. Rao (1974)
``Discrete Cosine Transform,'' {\it IEEE Transactions
on Computers} C23:9093.",
}I9 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "Predictive coding techniques for efficient
transmission or storage of twolevel (black and white)
digital images are examined. Algorithms for prediction
are discussed as well as coding techniques for encoding
the prediction error pattern. First, the authors survey
some schemes for encoding if the error pattern is
assumed to be memoryless. Then a method is developed
for encoding certain runlength distributions. Finally,
some experimental results for sample documents are
presented.",
acknowledgement = acknhfb,
classcodes = "B6120B (Codes); B6140 (Signal processing and
detection); C1260 (Information theory); C7410F
(Communications computing)",
classification = "723; 731",
corpsource = "IBM Thomas J. Watson Res. Center, Yorktown Heights,
NY, USA",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "algorithms; applications of computers; codes,
symbolic; communication; communications applications of
computers; data compression; digital signals; encoding;
image data compression; information theory 
Filtering and Prediction Theory; predictive coding; two
level digital images; video signals",
treatment = "P Practical; X Experimental",
}Jth.utah.edu/pub/tex/bib/ibmjrd.bib1997.03.25 14:26:59 MSTPredictive coding techniques for efficient transmission or storage of twolevel (black and white) digital images are examined. Algorithms for prediction are discussed as well as coding techniques for encoding the prediction error pattern. First, the authors survey some schemes for encoding if the error pattern is assumed to be memoryless. Then a method is developed for encoding certain runlength distributions. Finally, some experimental results for sample documents are presented.IBM Journal of Research and Developmentalgorithms; applications of computers; codes, symbolic; communication; communications applications of computers; data compression; digital signals; encoding; image data compression; information theory  Filtering and Prediction Theory; predictive coding; two level digital images; video signalsacknhfbB6120B (Codes); B6140 (Signal processing and detection); C1260 (Information theory); C7410F (Communications computing)IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USAhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520IBM J Res DevP Practical; X ExperimentalPredictive coding techniques for efficient transmission or storage of twolevel (black and white) digital images are examined. Algorithms for prediction are discussed as well as coding techniques for encoding the prediction error pattern. First, the authors survey some schemes for encoding if the error pattern is assumed to be memoryless. Then a method is developed for encoding certain runlength distributions. Finally, some experimental results for sample documents are presented.L. R. Bahl and H. KobayashiImage data compression by predictive coding. {II}. Encoding algorithms
@Article{Bahl:1974:IDC,
author = "L. R. Bahl and H. Kobayashi",
title = "Image data compression by predictive coding. {II}.
Encoding algorithms",
journal = jIBMJRD,
volume = "18",
number = "2",
pages = "172179",
month = mar,
year = "1974",
CODEN = "IBMJAE",
ISSN = "00188646 (print), 21518556 (electronic)",
ISSNL = "00188646",
bibdate = "Tue Mar 25 14:26:59 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "Predictive coding techniques for efficient
transmission or storage of twolevel (black and white)
digital images are examined. Algorithms for prediction
are discussed as well as coding techniques for encoding
the prediction error pattern. First, the authors survey
some schemes for encoding if the error pattern is
assumed to be memoryless. Then a method is developed
for encoding certain runlength distributions. Finally,
some experimental results for sample documents are
presented.",
acknowledgement = acknhfb,
classcodes = "B6120B (Codes); B6140 (Signal processing and
detection); C1260 (Information theory); C7410F
(Communications computing)",
classification = "723; 731",
corpsource = "IBM Thomas J. Watson Res. Center, Yorktown Heights,
NY, USA",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "algorithms; applications of computers; codes,
symbolic; communication; communications applications of
computers; data compression; digital signals; encoding;
image data compression; information theory 
Filtering and Prediction Theory; predictive coding; two
level digital images; video signals",
treatment = "P Practical; X Experimental",
}
ooM[3+So57E
;o?EWc!#oWo%articledatacompression.bibJordan:1974:CORB. W. Jordan, Jr. and R. C. BarrettA Cell Organized Raster Display for Line DrawingsjCACM1727077feb21974CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Sat Jan 26 12:46:16 MST 2013Compendex database; http://dblp.unitrier.de/db/journals/cacm/cacm17.html#JordanB74; http://www.math.utah.edu/pub/tex/bib/cacm1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTRaster scan computer graphics displays with ``real time'' character generators have previously been limited to alphanumeric characters. A display is described which extends the capabilities of this organization to include general graphics. The feasibility of such a display is shown by deriving the minimum number of patterns required in the read only memory of the character generator to synthesize an arbitrary line. The synthesis process does not compromise picture quality, since the resulting dot patterns are identical with those of a conventional raster display. The time constraints of a raster display are shown to be satisfied for a typical design for very complex line drawings.Communications of the ACMarbitrary line; cell organized raster display; complex line drawings; computer; computer graphic equipY~L\ 3'!s57E;U?uEc!AU!sarticledatacompression.bibHahn:1974:NTCBruce HahnA New Technique for Compression and Storage of DatajCACM178434436aug81974CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Mon Jan 22 06:47:50 MST 2001Compendex database; ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib; http://dblp.unitrier.de/db/journals/cacm/cacm17.W$KX 3'5%CC7;e5Qphdthesisdatacompression.bibFelt:1974:DCTDouglas Charles FeltDataCompression Techniques Using Adaptive TranslationPermutation CodesPh.D. thesisWashington State UniversityPullman, WA, USA1131974Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/302713192Computer scienceacknhfbDouglas Charles FeltDataCompression Techniques Using Adaptive TranslationPermutation Codes
@PhdThesis{Felt:1974:DCT,
author = "Douglas Charles Felt",
title = "DataCompression Techniques Using Adaptive
TranslationPermutation Codes",
type = "{Ph.D.} thesis",
school = "Washington State University",
address = "Pullman, WA, USA",
pages = "113",
year = "1974",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302713192",
acknowledgement = acknhfb,
classification = "0984: Computer science",
dissertationthesisnumber = "7416362",
subject = "Computer science",
}5J_3'C57E;W[]y'CWCarticledatacompression.bibBahl:1974:IDCL. R. Bahl and H. KobayashiImage data compression by predictive coding. II. Encoding algorithmsjIBMJRD182172179mar31974IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 00188646Tue Mar 25 14:26:59 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.maT ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
http://dblp.unitrier.de/db/journals/cacm/cacm17.html#Hahn74;
http://www.math.utah.edu/pub/tex/bib/cacm1970.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
abstract = "This paper describes techniques that can, in most
cases, decrease storage size by a factor of from two to
four. The techniques involve special handling of
leading and trailing blanks, and the encoding of other
symbols in groups of fixed size as unique fixed point
numbers. The efficiency of the system is considered and
pertinent statistics are given and compared with
statistics for other information coding techniques.",
acknowledgement = acknhfb,
annote = "Generation of a character dictionary and its use to
minimize space.",
classcodes = "C6120 (File organisation); C6130 (Data handling
techniques)",
classification = "731",
corpsource = "Univ. Waterloo, Ont., Canada",
fjournal = "Communications of the ACM",
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}gQX3/c;57E};[carticledatacompression.bibGallager:1975:OSCRobert G. Gallager and David C. van VoorhisOptimal Source Codes for Geometrically Distributed Integer AlphabetsjIEEETRANSINFTHEORYIT213228230mar31975IETTAW00189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTIEEE Transactions on Information TheoryackdsRobert G. Gallager and David C. van VoorhisOptimal Source Codes for Geometrically Distributed Integer Alphabets
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@PhdThesis{Lee:1981:DCS,
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@PhdThesis{Larsson:1999:SSM,
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@PhdThesis{Keshet:1991:NAT,
author = "Yehoshua Keshet",
title = "A new approach towards seismic data compression and
automated classification of seismic attributes, with
application to {East Africa} rift lakes data",
type = "{Ph.D.} thesis",
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@PhdThesis{Kurien:1983:PDC,
author = "Thomas Kurien",
title = "A Partitioned Data Compression Algorithm",
type = "{Ph.D.} thesis",
school = "The University of Connecticut",
address = "Storrs, CT, USA",
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T\3'?Y57E;[k=A'G?Yiarticledatacompression.bibLing:1975:BOIH. Ling and F. P. PalermoBlockOriented Information CompressionjIBMJRD192141145mar31975IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 00188646Tue Mar 25 14:26:59 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib1ctSV 35g%O5C7;e95q7phdthesisdatacompression.bibHilbert:1975:JCSEdward Erwin HilbertA Joint Clustering / Data Compression ConceptPh.D. thesisUniversity of Southern CaliforniaLos Angeles, CA, USA1975Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/302793284Electrical engineeringacknhfbEdward Erwin HilbertA Joint Clustering \slash Data Compression Concept
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abstract = "A new scheme is presented for information compression
that does not use information statistics. Each
information block is represented by two subblocks
called the alphabet and the generator. The alphabet
contains the linearly independent elements; the
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the linearly dependent elements. The total length of
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22KU[3)=w_57CS;k5+O#=wGarticledatacompression.bibMayne:1975:ICFA. Mayne and E. B. JamesInformation Compression by Factorising Common StringsjCOMPJ182157160may51975CMPJA6http://dx.doi.org/10.1093/comjnl/18.2.15700104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:47:55 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/18/2.toc; http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/2012.12.04 14:47:55 MSThttp://comjnl.oxfordjournals.org/content/18/2/157.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/tiff/157.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/tiff/158.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/tiff/159.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/tiff/160.tifThe Computer Journalbases; codes, symbolic; common factors; data; data compression; data processing; data transmission time; economy; factorising common strings; file organisation; information compression; recoded; security; sequences of characters; storage space; string processingacknhfbC6120 (File organisation); C6130 (Data handling techniques)Dept. of Computing and Control, Imperial Coll. of Sci. and Technol., London, UKhttp://comjnl.oxfordjournals.org/P PracticalA. Mayne and E. B. JamesInformation Compression by Factorising Common Strings
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EVY 31+_3_57E3;=I+Ac{articledatacompression.bibShanmugam:1975:CDCK. S. ShanmugamComments on ``Discrete Cosine Transform''jIEEETRANSCOMPUTC247759759jul71975ITCOB4http://dx.doi.org/10.1109/TC.1975.22430100189340 (print), 15579956 (electronic) OR 00189340 (print), 15579956 (electronic)00189340 OR 00189340Tue Jul 12 07:57:55 MDT 2011http://www.computer.org/tc/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ieeetranscomput1970.bib2011.07.12 07:57:55 MDTSee cite Ahmed:1974:DCT.http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1672894IEEE Transactions on Computersacknhfbhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=12K. S. ShanmugamSee \cite{Ahmed:1974:DCT}.Comments on {``Discrete Cosine Transform''}
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5W[ 3+%g_57CS;5qOA%gUarticledatacompression.bibTurner:1975:GCSL. F. TurnerThe `onground' compression of satellite datajCOMPJ183243247aug81975CMPJA6http://dx.doi.org/10.1093/comjnl/18.3.24300104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:47:56 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/18/3.toc; http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/2012.12.04 14:47:56 MSThttp://comjnl.oxfordjournals.org/content/18/3/243.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/243.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/244.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/245.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/246.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/247.tifThe Computer Journalaerospace applications of computers; data compression; ESRO 1; Hadamard; information theory; on ground compression; Run length method; satellite data; satellites; Shannon Fano method; transformationacknhfbB6140 (Signal processing and detection); C1260 (Information theory); C7490 (Computing in other engineering fields)Electrical Engng. Dept., Imperial Coll. of Sci. and Technol., London, UKhttp://comjnl.oxfordjournals.org/A Application; P PracticalL. F. TurnerThe `onground' compression of satellite data
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@Article{Klein:2006:CPM,
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@Article{Knutsson:1998:OGW,
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MRnumber ==
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@Article{Knott:1998:AAA,
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editor = "Lee D. Davisson and Robert M. Gray",
title = "Data compression",
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publisher = "Dowden, Hutchinson and Ross",
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@PhdThesis{Budihardjo:1976:DCA,
author = "Peter Setiadi Budihardjo",
title = "Data Compression Algorithms for Encoding of Digital
Sources",
type = "[unknown]",
school = "Computer Communications Network Group, University of
Waterloo",
address = "Waterloo, ON, Canada",
pages = "xii + 152",
year = "1976",
LCCN = "????",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
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classification = "0544: Electrical engineering",
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subject = "Electrical engineering",
xxpages = "xiv [i.e., xv] + 153",
xxyear = "1977",
}Tue Dec 4 14:47:58 MST 2012",
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http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/",
URL = "http://comjnl.oxfordjournals.org/content/19/3/216.full.pdf+html;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/216.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/217.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/218.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/219.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/220.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/221.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/222.tif;
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classcodes = "C6130 (Data handling techniques); C6150E (General
utility programs)",
classification = "723",
corpsource = "Univ. of Arkansas, Little Rock, AR, USA",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "adaptive; buffering; data compression; data
processing; data set; dynamic priority assignment;
FORTRAN; input/output control; interface; item
relocation; online information; programs; system;
utility programs",
treatment = "P Practical",
}[.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/2012.12.04 14:47:58 MSThttp://comjnl.oxfordjournals.org/content/19/3/216.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/216.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/217.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/218.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/219.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/220.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/221.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/222.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/223.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/224.tifThe Computer Journaladaptive; buffering; data compression; data processing; data set; dynamic priority assignment; FORTRAN; input/output control; interface; item relocation; online information; programs; system; utility programsacknhfbC6130 (Data handling techniques); C6150E (General utility programs)Univ. of Arkansas, Little Rock, AR, USAhttp://comjnl.oxfordjournals.org/P PracticalD. L. Dance and U. W. PoochAn adaptive on line data compression system
@Article{Dance:1976:ALD,
author = "D. L. Dance and U. W. Pooch",
title = "An adaptive on line data compression system",
journal = jCOMPJ,
volume = "19",
number = "3",
pages = "216224",
month = aug,
year = "1976",
CODEN = "CMPJA6",
DOI = "http://dx.doi.org/10.1093/comjnl/19.3.216",
ISSN = "00104620 (print), 14602067 (electronic)",
ISSNL = "00104620",
bibdate = "Tue Dec 4 14:47:58 MST 2012",
bibsource = "Compendex database;
http://comjnl.oxfordjournals.org/content/19/3.toc;
http://www.math.utah.edu/pub/tex/bib/compj.bib;
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http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/",
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http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/216.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/217.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/218.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/219.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/220.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/221.tif;
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http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/224.tif",
acknowledgement = acknhfb,
classcodes = "C6130 (Data handling techniques); C6150E (General
utility programs)",
classification = "723",
corpsource = "Univ. of Arkansas, Little Rock, AR, USA",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "adaptive; buffering; data compression; data
processing; data set; dynamic priority assignment;
FORTRAN; input/output control; interface; item
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}
ARmE
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$I
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presented. The advantage of this algorithm over other
linear time algorithms to perform similar tasks is that
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Tree Construction Algorithm,'' {\it Journal of the
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journal = jCACM,
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month = jan,
year = "1992",
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@Article{Bredies:2012:TVB,
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journal = jSIAMJIMAGINGSCI,
volume = "5",
number = "1",
pages = "366393",
month = "????",
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@Article{Bookstein:1997:MWO,
author = "A. Bookstein and S. T. Klein and T. Raita",
title = "Modeling Word Occurrences for the Compression of
Concordances",
journal = jTOIS,
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pages = "254290",
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z_Z 313w57E;qe33wuarticledatacompression.bibMcCreight:1976:SESEdward M. McCreightA SpaceEconomical Suffix Tree Construction AlgorithmjJACM232262272apr41976JACOAH00045411 (print), 1557735X (electronic) OR 00045411 (print), 1557735X (electronic)00045411 OR 00045411Sat Jan 26 12:46:16 MST 2013Compendex database; ftp://ftp.ira.uka.de/pub/bibliography/Misc/protein.pattern.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/jacm.bib2013.01.26 12:46:16 MSTA new algorithm is presented for constructing auxiliary digital search trees to aid in exactmatch substring searching. This algorithm has the same asymptotic running time bound as previously published algorithms, but is more economical in space. Some implementation considerations are discussed, and new work on the modification of these search trees in response to incremental changes in the strings they index (the update problem) is presented.Journal of the Association for Computing Machinerycomputer programming; information science  Information Retrievalackdshttp://portal.acm.org/browse_dl.cfm?idx=J401J Assoc Comput MachA new algorithm is presented for constructing auxiliary digital search trees to aid in exactmatch substring searching. This algorithm has the same asymptotic running time bound as previously published algorithms, but is more economical in space. Some implementation considerations are discussed, and new work on the modification of these search trees in response to incremental changes in the strings they index (the update problem) is presented.Edward M. McCreightA SpaceEconomical Suffix Tree Construction Algorithm
@Article{McCreight:1976:SES,
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title = "A SpaceEconomical Suffix Tree Construction
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journal = jJACM,
volume = "23",
number = "2",
pages = "262272",
month = apr,
year = "1976",
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ISSN = "00045411 (print), 1557735X (electronic)",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "Compendex database;
ftp://ftp.ira.uka.de/pub/bibliography/Misc/protein.pattern.bib;
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http://www.math.utah.edu/pub/tex/bib/jacm.bib",
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acknowledgement = ackds # " and " # acknhfb,
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@Article{Morrin:1976:CLC,
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. .OfX '3'7uK;C7;e+7ucmastersthesisdatacompression.bibSnow:1976:ICTRoderick Charles SnowAn investigation of clustering techniques, query methods and data base compression with respect to the enlist systemM.Sc.C.S.The University of New BrunswickFredericton, NB, Canada1976Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302820785Library scienceacknhfbRoderick Charles SnowAn investigation of clustering techniques, query methods and data base compression with respect to the enlist system
@MastersThesis{Snow:1976:ICT,
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title = "An investigation of clustering techniques, query
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}{eZ 3)#U57E ;W?{MAc!C[#Uoarticledatacompression.bibRubin:1976:ETFFrank RubinExperiments in Text File CompressionjCACM1911617623nov111976CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Mon Jan 22 07:17:30 MST 2001Compendex database; http://dblp.unitrier.de/db/journals/cacm/cacm19.html#Rubin76; http://www.math.utah.edu/pub/tex/bib/cacm1970.bib; http://www.math.utah.edu/pub/tex/}wdW 3/))7E};_)'articledatacompression.bibRoetling:1976:HMEP. G. RoetlingHalftone Method with Edge Enhancement and Moire SuppressionjJOPTSOCAM669859891976JOSAAH00303941 OR 00303941Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTJournal of the Optical Society of AmericaackdsP. G. RoetlingHalftone Method with Edge Enhancement and Moir{\'e} Suppression
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abstract = "A system for the compression of data files, viewed as
strings of characters, is presented. \par
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decoder. \par
Two algorithms for encoding a string differ slightly
from earlier proposals. The analysis program attempts
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substrings of the file. Four new algorithms for this
operation are described and compared. Various
parameters in the algorithms are optimized to obtain a
high degree of compression for sample texts.",
acknowledgement = acknhfb,
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_h] !3'';U3#777EI;I'313'I'A$techreportdatacompression.bibAronson:1977:CSTJules AronsonComputer science and technology: data compression  a comparison of methodsNBS special publication50012Department of Commerce, National Bureau of Standards, Institute for Computer Sciences and TechnologyWashington, DC, USAiv + 31 + 1jun61977XNBSAV00831883 OR 0083188300831883 OR 00831883QC100 .U57 no. 50012Mon Jan 28 15:18:45 MST 2013cliodb.cc.columbia.edu:7090/Voyager; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; libraries.colorado.edu:210/INNOPAC; z3950.loc.gov:7090/Voyager2013.01.28 15:18:45 MSTERIC Document Number: ED149732http://ucblibraries.colorado.edu/circulation/forms/ericrequest.htm; http://www.eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED149732This report delineates the theory and terminology of data compression. It surveys four data compression methodsnull suppression, pattern substitution, statistical encoding, and telemetry compressionand relates them to a standard statistical coding problem, i.e., the noiselexgV 3)'k!!CQ%E_;g'kbookdatacompression.bibWirth:1976:ADSNiklaus WirthAlgorithms $ + $ Data Structures $ = $ ProgramspubPHpubPH:adrSecondxvii + 36619760130224189 OR 01302241899780130224187 OR 9780130224187QA76.6 .W561Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/master.bib2013.01.26 12:46:16 MSTPrenticeHall Series in Automatic ComputationackdsNiklaus WirthAlgorithms $ + $ Data Structures $ = $ Programs
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note = "ERIC Document Number: ED149732",
URL = "http://ucblibraries.colorado.edu/circulation/forms/ericrequest.htm;
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abstract = "This report delineates the theory and terminology of
data compression. It surveys four data compression
methodsnull suppression, pattern substitution,
statistical encoding, and telemetry compressionand
relates them to a standard statistical coding problem,
i.e., the noiseless coding problem. The well defined
solution to that problem can serve as a standard on
which to base the effectiveness of data compression
methods. The simple measure described for calculating
the effectiveness of a data compression method is based
on the characterization of the solution to the
noiseless coding problem. Finally, guidelines are
stated concerning the relevance of data compression to
data processing applications. (Author/DAG).",
acknowledgement = acknhfb,
subject = "Data compression (Computer science); Coding theory;
Comparative Analysis; Computer Programs; Computer
Storage Devices; Cost Effectiveness; Data Processing;
Databases; Federal Government; Guidelines; Information
Scientists; Information Storage; Information Theory;
Standards.",
}hss coding problem. The well defined solution to that problem can serve as a standard on which to base the effectiveness of data compression methods. The simple measure described for calculating the effectiveness of a data compression method is based on the characterization of the solution to the noiseless coding problem. Finally, guidelines are stated concerning the relevance of data compression to data processing applications. (Author/DAG).Data compression (Computer science); Coding theory; Comparative Analysis; Computer Programs; Computer Storage Devices; Cost Effectiveness; Data Processing; Databases; Federal Government; Guidelines; Information Scientists; Information Storage; Information Theory; Standards.acknhfbThis report delineates the theory and terminology of data compression. It surveys four data compression methodsnull suppression, pattern substitution, statistical encoding, and telemetry compressionand relates them to a standard statistical coding problem, i.e., the noiseless coding problem. The well defined solution to that problem can serve as a standard on which to base the effectiveness of data compression methods. The simple measure described for calculating the effectiveness of a data compression method is based on the characterization of the solution to the noiseless coding problem. Finally, guidelines are stated concerning the relevance of data compression to data processing applications. (Author/DAG).Jules AronsonERIC Document Number: ED149732Computer science and technology: data compression  a comparison of methods
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;8;zjX 3''%/;C7;e9'?phdthesisdatacompression.bibChen:1977:DCBPo Hsiin ChenData Compression for Binary and MultiLevel Satellite ImageryPh.D. thesisPurdue UniversityWest Lafayette, IN, USA1761977Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302819991Electrical engineeringacknhfbPo Hsiin ChenData Compression for Binary and MultiLevel Satellite Imagery
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articledatacompression.bibChaitin:1977:AITGregory J. ChaitinAlgorithmic Information TheoryjIBMJRD214350359jul71977IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 0018864694A15 (68A20)56 \#15151Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib; http://www.research.ibm.com/journal/2013.01.26 12:46:16 MSTIBM Journal of Research and Developmentalgorithm theory; algorithmic information theory; functions; information theory; probability; recursive; recursive function theoryackdsB0240Z (Other topics in statistics); B6110 (Information theory); C1260 (Information theory); C4210 (Formal logic); C4240 (Programming and algorithm theory)IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USAhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520Robert P. DaleyT Theoretical or MathematicalGregory J. ChaitinAlgorithmic Information Theory
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VlX 3/ ;57E};[ articledatacompression.bibLawrence:1977:NUCJohn C. LawrenceA New Universal Coding Scheme for the Binary Memoryless SourcejIEEETRANSINFTHEORY234466472jul71977IETTAW00189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTIEEE Transactions on Information TheoryackdsJohn C. LawrenceA New Universal Coding Scheme for the Binary Memoryless Source
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Garticledatacompression.bibChen:1977:FCAWenHsiung Chen and C. Harrison Smith and S. C. FralickA Fast Computational Algorithm For the Discrete Cosine TransformjIEEETRANSCOMM25910041009sep91977IECMBT00906778 (print), 15580857 (electronic) OR 00906778 (print), 15580857 (electronic)00906778 OR 00906778Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTIEEE Transactions on CommunicationsackdsWenHsiung Chen and C. Harrison Smith and S. C. FralickA Fast Computational Algorithm For the Discrete Cosine Transform
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@Article{Robinson:1981:ASC,
author = "P. J. Robinson and Dave Singer",
title = )S
@Article{Rodriguez:1995:GFF,
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title = "Graphics File Format Patent {Unisys} Seeks Royalties
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@Article{Rodeh:1981:LAD,
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@Article{Robinson:1991:APF,
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journal = jIEEETRANSCOMPUT,
volume = "40",
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pages = "867873",
month = jul,
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@Article{Roetling:1977:BAC,
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@Article{Robinson:1997:EGP,
author = "John A. Robinson",
title = "Efficient GeneralPurpose Image Compression with
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journal = jIEEETRANSIMAGEPROCESS,
volume = "6",
number = "4",
pages = "601607",
month = apr,
year = "1997",
CODEN = "IIPRE4",
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ZMnumber = "Zbl 0376.28020",
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tableofcontents = "I. Introduction \\
II. How long is the coast of Britain? \\
III. Uses of nonconstrained chance \\
IV. Fractal events and noises \\
V. Fractal clusters of stellar matter \\
VI. Turbulence, intermittency and curdling \\
VII. Meteorites, moon craters and soap \\
VIII. Uses of self constrained chance \\
IX. Fractional Brownian facets of rivers, relief and
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(((pW3%;w;a57Ek;[;warticledatacompression.bibZiv:1977:UASJacob Ziv and A. LempelA Universal Algorithm for Sequential Data CompressionjIEEETRANSINFTHEORYIT233337343may51977IETTAWhttp://dx.doi.org/10.1109/TIT.1977.105571400189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/computer1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTIEEE Transactions on Information TheoryackdsJacob Ziv and A. LempelA Universal Algorithm for Sequential Data Compression
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M[cGGg}articledatacompression.bibEven:1978:EECShimon Even and Michael RodehEconomical Encoding of Commas Between StringsjCACM214315317apr41978CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 0001078268A1058 3648John CherniavskySat Jan 26 12:46:16 MST 2013http://dblp.unitrier.de/db/journals/cacm/cacm21.html#EvenR78; http://www.math.utah.edu/pub/tex/bib/cacm1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTCommunications of the ACMcommas; data handling; delimiters; encoding; extra cost; stringsackdsC6130 (Data handling techniques)Israel Inst. of Technol., Haifa, Israelhttp://portal.acm.org/browse_dl.cfm?idx=J79T Theoretical or MathematicalShimon Even and Michael RodehEconomical Encoding of Commas Between Strings
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, ,myV 3!%%SC7;e9%Qphdthesisdatacompression.bibMa:1978:DCJoong Soo MaData CompressionPh.D. thesisUniversity of Massachusetts AmherstAmherst, MA, USA1481978Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302919063Electrical engineeringacknhfbJoong Soo MaData Compression
@PhdThesis{Ma:1978:DC,
author = "Joong Soo Ma",
title = "Data Compression",
type = "{Ph.D.} thesis",
school = "University of Massachusetts Amherst",
address = "Amherst, MA, USA",
pages = "148",
year = "1978",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302919063",
acknowledgement = acknhfb,
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subject = "Electrical engineering",
}yx[ 35+;qE;9I59+[uarticledatacompression.bibLouisGavet:1978:DAIGuy LouisGavetDiverses applications issues d'une fonction $f$ de compactage basee sur une etude mathematique du langage naturel (compactage de donnees, comparaison de textes, hashcoding). [Various Applications Issued from a Compression Function $f$ Based on a Mathematical Study of the Natural Language (Data Compression, Comparison of Texts, HashCoding)]RAIRO Informatique/Computer Science (Revue Francaise d'Automatique, d'Informatique et de Recherche Operationnelle)12147711978RSINDNSat Jan ]wV 3)%{%3/C7;e9%{+phdthesisdatacompression.bibLinde:1978:DTTYoseph LindeThe Design of Tree and Trellis Data Compression SystemsPh.D. thesisStanford UniversityStanford, CA, USA1421978Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302929849Electrical engineeringacknhfbYoseph LindeThe Design of Tree and Trellis Data Compression Systems
@PhdThesis{Linde:1978:DTT,
author = "Yoseph Linde",
title = "The Design of Tree and Trellis Data Compression
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type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "142",
year = "1978",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
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acknowledgement = acknhfb,
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} (Data Compression, Comparison of Texts, HashCoding)]",
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Fran{\c{c}}aise d'Automatique, d'Informatique et de
Recherche Operationnelle)",
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http://www.math.utah.edu/pub/tex/bib/hash.bib",
abstract = "Various compression techniques are discussed, along
with numerous applications. A method of compression is
considered which is based on a mathematical study
concerned with the repartition of characters in a set
natural language. A high rate of compression without
risk of redundancies is obtained. It is about 1/30
(sometimes much higher) when operating in an
interrogational mode and about one quarter when we want
to find again the original data. The applications
described demonstrate the interest of this approach:
compression of keywords of a thesaurus, of namesfirst
names, of titlesauthors of books; comparison of texts,
and applications in Hashcoding.",
acknowledgement = acknhfb,
classification = "723",
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keywords = "computer programming languages",
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}x25 17:38:12 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/hash.bib1997.01.25 17:38:12 MSTVarious compression techniques are discussed, along with numerous applications. A method of compression is considered which is based on a mathematical study concerned with the repartition of characters in a set natural language. A high rate of compression without risk of redundancies is obtained. It is about 1/30 (sometimes much higher) when operating in an interrogational mode and about one quarter when we want to find again the original data. The applications described demonstrate the interest of this approach: compression of keywords of a thesaurus, of namesfirst names, of titlesauthors of books; comparison of texts, and applications in Hashcoding.computer programming languagesFrenchacknhfbRAIRO Inf Comput SciVarious compression techniques are discussed, along with numerous applications. A method of compression is considered which is based on a mathematical study concerned with the repartition of characters in a set natural language. A high rate of compression without risk of redundancies is obtained. It is about 1/30 (sometimes much higher) when operating in an interrogational mode and about one quarter when we want to find again the original data. The applications described demonstrate the interest of this approach: compression of keywords of a thesaurus, of namesfirst names, of titlesauthors of books; comparison of texts, and applications in Hashcoding.Guy LouisGavetDiverses applications issues d'une fonction $f$ de compactage bas{\'e}e sur une {\'e}tude math{\'e}matique du langage naturel (compactage de donn{\'e}es, comparaison de textes, hashcoding). [Various Applications Issued from a Compression Function $f$ Based on a Mathematical Study of the Natural Language (Data Compression, Comparison of Texts, HashCoding)]
@Article{LouisGavet:1978:DAI,
author = "Guy LouisGavet",
title = "Diverses applications issues d'une fonction $f$ de
compactage bas{\'e}e sur une {\'e}tude math{\'e}matique
du langage naturel (compactage de donn{\'e}es,
comparaison de textes, hashcoding). [Various
Applications Issued from a Compression Function $f$
Based on a Mathematical Study of the Natural Language
(Data Compression, Comparison of Texts, HashCoding)]",
journal = "RAIRO Informatique/Computer Science (Revue
Fran{\c{c}}aise d'Automatique, d'Informatique et de
Recherche Operationnelle)",
volume = "12",
number = "1",
pages = "4771",
month = "????",
year = "1978",
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bibdate = "Sat Jan 25 17:38:12 MST 1997",
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abstract = "Various compression techniques are discussed, along
with numerous applications. A method of compression is
considered which is based on a mathematical study
concerned with the repartition of characters in a set
natural language. A high rate of compression without
risk of redundancies is obtained. It is about 1/30
(sometimes much higher) when operating in an
interrogational mode and about one quarter when we want
to find again the original data. The applications
described demonstrate the interest of this approach:
compression of keywords of a thesaurus, of namesfirst
names, of titlesauthors of books; comparison of texts,
and applications in Hashcoding.",
acknowledgement = acknhfb,
classification = "723",
journalabr = "RAIRO Inf Comput Sci",
keywords = "computer programming languages",
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}
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title = "Data compression systems",
type = "{[
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title = "Data compression and encryption",
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address = "Northridge, CA, USA",
pages = "vi + 127",
year = "1997",
bibdate = "Mon Oct 19 08:47:56 MDT 1998",
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inproceedingsdatacompression.bibStorer:1978:MMDJames A. Storer and Thomas G. SzymanskiThe macro model for data compression (Extended Abstract)ACM:1978:CRT30391978Wed Feb 20 18:33:31 MST 2002http://portal.acm.org/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2002.02.20 18:33:31 MSTacknhfbJames A. Storer and Thomas G. SzymanskiThe macro model for data compression (Extended Abstract)
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pages = "100",
year = "1978",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
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X 3;U%=C7;e;Uphdthesisdatacompression.bibHouston:1979:AFMGeorge Branston HoustonThe Application of Formal Models to a Fully Adaptive General Purpose Digital Data Compression SystemPh.D. thesisUniversity of WashingtonSeattle, WA, USA3591979Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302947120Computer scienceacknhfbGeorge Branston HoustonThe Application of Formal Models to a Fully Adaptive General Purpose Digital Data Compression System
@PhdThesis{Houston:1979:AFM,
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address = "Seattle, WA, USA",
pages = "359",
year = "1979",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
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}aV'3)Ag%E;Ageinproceedingsdatacompression.bibGalil:1979:NFGZvi Galil and Amnon NaamadNetwork flow and generalized path compressionACM:1979:CRE13261979Wed Feb 20 18:33:31 MST 2002http://portal.acm.org/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2002.02.20 18:33:31 MSTacknhfbZvi Galil and Amnon NaamadNetwork flow and generalized path compression
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pages = "1326",
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}X 3)1%9GC7;e31phdthesisdatacompression.bibEvans:1979:SREArnold Kerry EvansStatistical Representation of Electrocardiographic Body Surface Maps for Feature Identification, Data Compression and ClassificationPh.D. thesisThe University of UtahSalt Lake City, UT 84112, USA961979Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302988278Biomedical researchacknhfbArnold Kerry EvansStatistical Representation of Electrocardiographic Body Surface Maps for Feature Identification, Data Compression and Classification
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address = "Atlanta, GA, USA",
pages = "154",
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year = "1993",
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pages = "148",
year = "1978",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
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}U 3')u+?/E};)u5miscdatacompression.bibRice:1979:SPURobert F. RiceSome Practical Universal Noiseless Coding TechniquesJPL Publication7922Jet Propulsion LaboratoryPasadena, CA, USAmar31979Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsRobert F. RiceSome Practical Universal Noiseless Coding Techniques
@Misc{Rice:1979:SPU,
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number = "7922",
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month = mar,
year = "1979",
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npn~V 3)7%3/C7;e97Aphdthesisdatacompression.bibSmith:1979:SPAGeorge Heavener SmithSpectral Peak Amplitude Coding for Voice Data CompressionPh.D. thesisStanford UniversityStanford, CA, USA1011979Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302972664Electrical engineeringacknhfbGeorge Heavener SmithSpectral Peak Amplitude Coding for Voice Data Compression
@PhdThesis{Smith:1979:SPA,
author = "George Heavener Smith",
title = "Spectral Peak Amplitude Coding for Voice Data
Compression",
type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "101",
year = "1979",
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bibsource = "http://search.proquest.com/;
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classification = "0544: Electrical engineering",
dissertationthesisnumber = "8002017",
subject = "Electrical engineering",
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author = "Frank Rubin",
title = "Cryptographic Aspects of Data Compression Codes",
journal = jCRYPTOLOGIA,
volume = "3",
number = "4",
pages = "202205",
month = oct,
year = "1979",
CODEN = "CRYPE6",
DOI = "http://dx.doi.org/10.1080/0161117991854061",
ISSN = "01611194 (print), 15581586 (electronic)",
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bibdate = "Mon Jun 30 15:38:28 MDT 2008",
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note = "See also {\em Comm. ACM}, 19 (November 1976):
616623.",
URL = "http://www.informaworld.com/smpp/content~content=a741902806~db=all~order=page",
acknowledgement = acknhfb,
fjournal = "Cryptologia",
journalURL = "http://www.tandfonline.com/loi/ucry20",
romanvolume = "III",
xxtitle = "Crypto of Data Compression Codes",
xxtitle = "Experiments in Text File Compression",
}base;
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abstract = "Several fast algorithms are presented for computing
functions defined on paths in trees under various
assumptions. The algorithms are based on tree
manipulation methods first used to efficiently
represent equivalence relations. The algorithms have
$O((m + n) \alpha (m + n,n))$ running times, where $m$
and $n$ are measures of the problem size and $\alpha$
is a functional inverse of Ackermann's function. By
using one or more of these algorithms in combination
with other techniques, it is possible to solve several
graph problems in $O(m \alpha (m,n))$ time, where $m$
is the number of edges and $n$ is the number of
vertices in the problem graph.",
acknowledgement = acknhfb,
classification = "723; 921",
fjournal = "Journal of the Association for Computing Machinery",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J401",
journalabr = "J Assoc Comput Mach",
keywords = "computer programming  Subroutines; data processing;
mathematical techniques  Trees",
}
(g'
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title = "{ECMA151}: Data Compression for Information
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editor = "Lee D. Davisson and Robert M. Gray",
title = "Data compression",
volume = "14",
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series = "Benchmark papers in electrical engineering and
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acknowledgement = acknhfb,
subject = "Data compression (Telecommunication); Coding theory",
}\
tZ 3+3q57E;q=e33q'articledatacompression.bibTarjan:1979:APCRobert Endre TarjanApplications of Path Compression on Balanced TreesjJACM264690715oct101979JACOAH00045411 (print), 1557735X (electronic) OR 00045411 (print), 1557735X (electronic)00045411 OR 00045411Wed Jan 15 18:12:53 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/jacm.bib1997.01.15 18:12:53 MSTSeveral fast algorithms are presented for computing functions defined on paths in trees under various assumptions. The algorithms are based on tree manipulation methods first used to efficiently represent equivalence relations. The algorithms have $O((m + n) alpha (m + n,n))$ running times, where $m$ and $n$ are measures of the problem size and $alpha $ is a functional inverse of Ackermann's function. By using one or more of these algorithms in combination with other techniques, it is possible to solve several graph problems in $O(m alpha (m,n))$ time, where $m$ is the number of edges and $n$ is the number of vertices in the problem graph.Journal of the Association for Computing Machinerycomputer programming  Subroutines; data processing; mathematical techniques  Treesacknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J401J Assoc Comput MachSeveral fast algorithms are presented for computing functions defined on paths in trees under various assumptions. The algorithms are based on tree manipulation methods first used to efficiently represent equivalence relations. The algorithms have $O((m + n) \alpha (m + n,n))$ running times, where $m$ and $n$ are measures of the problem size and $\alpha$ is a functional inverse of Ackermann's function. By using one or more of these algorithms in combination with other techniques, it is possible to solve several graph problems in $O(m \alpha (m,n))$ time, where $m$ is the number of edges and $n$ is the number of vertices in the problem graph.Robert Endre TarjanApplications of Path Compression on Balanced Trees
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author = "Robert Endre Tarjan",
title = "Applications of Path Compression on Balanced Trees",
journal = jJACM,
volume = "26",
number = "4",
pages = "690715",
month = oct,
year = "1979",
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ISSNL = "00045411",
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bibsource = "Compendex database;
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abstract = "Several fast algorithms are presented for computing
functions defined on paths in trees under various
assumptions. The algorithms are based on tree
manipulation methods first used to efficiently
represent equivalence relations. The algorithms have
$O((m + n) \alpha (m + n,n))$ running times, where $m$
and $n$ are measures of the problem size and $\alpha$
is a functional inverse of Ackermann's function. By
using one or more of these algorithms in combination
with other techniques, it is possible to solve several
graph problems in $O(m \alpha (m,n))$ time, where $m$
is the number of edges and $n$ is the number of
vertices in the problem graph.",
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classification = "723; 921",
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journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J401",
journalabr = "J Assoc Comput Mach",
keywords = "computer programming  Subroutines; data processing;
mathematical techniques  Trees",
}
f X 3++5%!77Em;i7[+5}articledatacompression.bibDunham:1980:AASJames G. DunhamAbstract Alphabet SlidingBlock Entropy Compression Coding with a Fidelity CriterionjANNPROBAB8610851092dec121980APBYAE00911798 OR 0091179800911798 OR 00911798Sun Apr 20 10:44:17 MDT 2014http://www.math.utah.edu/pub/tex/bib/annprobab1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2014.04.20 10:44:17 MDThttp://projecteuclid.org/euclid.aop/1176994570Annals of Probabilityacknhfbhttp://projecteuclid.org/all/euclid.aopJames G. DunhamAbstract Alphabet SlidingBlock Entropy Compression Coding with a Fidelity Criterion
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pZk
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@Book{Anonymous:1982:DCH,
author = "Anonymous",
title = "Data compression hardware and software market: Data
compression products in the {U.S}",
publisher = "Frost and Sullivan",
address = "106 Fulton Strett, New York 10038, NY, USA",
pages = "vii + 184",
month = may,
year = "1982",
LCCN = "HD9696.D383 U6316 1982",
bibdate = "Mon Jan 28 15:19:07 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = acknhfb,
subject = "Data transmission equipment industry; United States;
Market surveys",
}!#V 3)Oy%/;C7;e9Oy[phdthesisdatacompression.bibYazdi:1981:ELDMohammad Ali Jezu Tabatabai YazdiEdge Location and Data Compression for Digital ImageryPh.D. thesisPurdue UniversityWest Lafayette, IN, USA1781981Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/303174746Electrical engineeringacknhfbMohammad Ali Jezu Tabatabai YazdiEdge Location and Data Compression for Digital Imagery
@PhdThesis{Yazdi:1981:ELD,
author = "Mohammad Ali Jezu Tabatabai Yazdi",
title = "Edge Location and Data Compression for Digital
Imagery",
type = "{Ph.D.} thesis",
school = "Purdue University",
address = "West Lafayette, IN, USA",
pages = "178",
year = "1981",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303174746",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8210265",
subject = "Electrical engineering",
}e Dec 4 14:48:13 MST 2012",
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http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/491.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/492.tif",
acknowledgement = acknhfb,
classcodes = "C6120 (File organisation); C6130 (Data handling
techniques); C6160 (Database management systems
(DBMS))",
classification = "723",
corpsource = "School of Computer Sci., Ulster Polytech.,
Newtonabbey, UK",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "data handling; data processing; database designer's;
database management systems; DBMS; direct access
performance; hash trees; hashing; key; PRECI;
sequential access; space compression; storage; table
lookup; toolkit; utilization",
treatment = "P Practical",
}
#]
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3f
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#ath.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/2012.12.04 14:48:13 MSThttp://comjnl.oxfordjournals.org/content/25/4/486.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/486.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/487.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/488.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/489.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/490.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/491.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/492.tifThe Computer Journaldata handling; data processing; database designer's; database management systems; DBMS; direct access performance; hash trees; hashing; key; PRECI; sequential access; space compression; storage; table lookup; toolkit; utilizationacknhfbC6120 (File organisation); C6130 (Data handling techniques); C6160 (Database management systems (DBMS))School of Computer Sci., Ulster Polytech., Newtonabbey, UKhttp://comjnl.oxfordjournals.org/P PracticalD. A. Bell and S. M. DeenKey Space Compression and Hashing in {PRECI}
@Article{Bell:1982:KSC,
author = "D. A. Bell and S. M. Deen",
title = "Key Space Compression and Hashing in {PRECI}",
journal = jCOMPJ,
volume = "25",
number = "4",
pages = "486492",
month = nov,
year = "1982",
CODEN = "CMPJA6",
DOI = "http://dx.doi.org/10.1093/comjnl/25.4.486",
ISSN = "00104620 (print), 14602067 (electronic)",
ISSNL = "00104620",
bibdate = "Tue Dec 4 14:48:13 MST 2012",
bibsource = "Compendex database;
http://comjnl.oxfordjournals.org/content/25/4.toc;
http://www.math.utah.edu/pub/tex/bib/compj.bib;
http://www.math.utah.edu/pub/tex/bib/compj1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/",
URL = "http://comjnl.oxfordjournals.org/content/25/4/486.full.pdf+html;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/486.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/487.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/488.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/489.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/490.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/491.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_25/Issue_04/tiff/492.tif",
acknowledgement = acknhfb,
classcodes = "C6120 (File organisation); C6130 (Data handling
techniques); C6160 (Database management systems
(DBMS))",
classification = "723",
corpsource = "School of Computer Sci., Ulster Polytech.,
Newtonabbey, UK",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "data handling; data processing; database designer's;
database management systems; DBMS; direct access
performance; hash trees; hashing; key; PRECI;
sequential access; space compression; storage; table
lookup; toolkit; utilization",
treatment = "P Practical",
} "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/typeset.bib",
abstract = "A highly efficient image data compression unit is
considered which reduces data file size and data
transfer time in computerized typesetting systems. In a
study of the correlation between picture elements, it
is found that in the predictive coding method, which
reduces redundancy in screen dot image data, the most
efficient reference picture elements were information
on three neighboring screen dots. Based on this
finding, an adaptive predictive split coding method is
developed which predicts and encodes screen dot image
data and character image data according to the most
adaptive reference picture elements. This coding method
utilizes a variable length control code system to
prevent reduction of the compression factor when
different kinds of data are used. It proves to be a
highly efficient compression method for encoding
fullpage, page segment, and character font data.",
acknowledgement = acknhfb,
classification = "731; 741; 745",
fjournal = "Fujitsu scientific and technical journal",
keywords = "adaptive predictive split coding; codes, symbolic;
control code; image processing; information theory 
data compression; screen dot image data; typesetting
 computer applications",
}
];
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fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
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}edictive coding method, which reduces redundancy in screen dot image data, the most efficient reference picture elements were information on three neighboring screen dots. Based on this finding, an adaptive predictive split coding method is developed which predicts and encodes screen dot image data and character image data according to the most adaptive reference picture elements. This coding method utilizes a variable length control code system to prevent reduction of the compression factor when different kinds of data are used. It proves to be a highly efficient compression method for encoding fullpage, page segment, and character font data.Fujitsu scientific and technical journaladaptive predictive split coding; codes, symbolic; control code; image processing; information theory  data compression; screen dot image data; typesetting  computer applicationsacknhfbA highly efficient image data compression unit is considered which reduces data file size and data transfer time in computerized typesetting systems. In a study of the correlation between picture elements, it is found that in the predictive coding method, which reduces redundancy in screen dot image data, the most efficient reference picture elements were information on three neighboring screen dots. Based on this finding, an adaptive predictive split coding method is developed which predicts and encodes screen dot image data and character image data according to the most adaptive reference picture elements. This coding method utilizes a variable length control code system to prevent reduction of the compression factor when different kinds of data are used. It proves to be a highly efficient compression method for encoding fullpage, page segment, and character font data.Atsushi Ishii and Kenji Kouno and Yasunori MaezawaHighly Efficient Data Compression Method for Newspaper Image Data
@Article{Ishii:1982:HED,
author = "Atsushi Ishii and Kenji Kouno and Yasunori Maezawa",
title = "Highly Efficient Data Compression Method for Newspaper
Image Data",
journal = jFUJITSUSCITECHJ,
volume = "V 18",
number = "N 2",
pages = "199225",
month = jun,
year = "1982",
CODEN = "FUSTA4",
ISSN = "00162523",
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abstract = "A highly efficient image data compression unit is
considered which reduces data file size and data
transfer time in computerized typesetting systems. In a
study of the correlation between picture elements, it
is found that in the predictive coding method, which
reduces redundancy in screen dot image data, the most
efficient reference picture elements were information
on three neighboring screen dots. Based on this
finding, an adaptive predictive split coding method is
developed which predicts and encodes screen dot image
data and character image data according to the most
adaptive reference picture elements. This coding method
utilizes a variable length control code system to
prevent reduction of the compression factor when
different kinds of data are used. It proves to be a
highly efficient compression method for encoding
fullpage, page segment, and character font data.",
acknowledgement = acknhfb,
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 computer applications",
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editor = "Bormin Huang",
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author = "{ISO}",
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price = "CHF 164",
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title = "{ISO\slash IEC 109182:1995: Information technology
 Digital compression and coding of continuoustone
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} "US Patent Application 291,870 filed 10 August 1981.
See also the related patent \cite{Welch:1984:HSD}
issued on the same day. This patent was held by Sperry
and its successor, Unisys, and vigorously enforced
until its expiry on 7 August 2001. It led to
multimilliondollar lawsuit settlements, and the move
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;V 35{%71C7;e95{Ephdthesisdatacompression.bibElnahas:1984:DCASharaf Eldin ElnahasData Compression with Applications to Digital RadiologyD.Sc. thesisWashington UniversitySt. Louis, MO, USA1621984Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/303316909Electrical engineeringacknhfbSharaf Eldin ElnahasData Compression with Applications to Digital Radiology
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=V3/SM;57E};[SQMarticledatacompression.bibFerguson:1984:SSHT. J. Ferguson and J. H. RabinowitzSelfSynchronizing Huffman codesjIEEETRANSINFTHEORY304687693jul71984IETTAW00189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTIEEE Transactions on Information TheoryackdsT. J. Ferguson and J. H. RabinowitzSelfSynchronizing {Huffman} codes
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}EU'3)CE'C};CEw inproceedingsdatacompression.bibGamal:1984:IDCA. El Gamal and A. OrlitskyInteractive Data CompressionIEEE:1984:ASF1001081984Thu Apr 5 06:13:39 MDT 2001http://www.math.utah.edu/pub/tex/bib/datacompression.bib2001.04.05 06:13:39 MDTacknhfbA. El Gamal and A. OrlitskyInteractive Data Compression
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abstract = "This paper presents a new variablelength coding
algorithm for bitrate reduction of digital images. The
coding scheme is based on the fact that by taking into
account the local conditional statistics of the
picture, the coding efficiency can be improved
considerably. Results of computer simulations are
presented in terms of picture quality and required bit
rate. Simulations show that for various Differential
Pulse Code Modulation (DPCM) coded pictures, coding
efficiency is such that a bit rate below the entropy of
the DPCM quantizer output is attained. For a 3bit DPCM
encoded picture, a bit rate of 1.64 bits/picture
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O?\ 3!77=;]9!articledatacompression.bibGharavi:1984:CVLH. GharaviConditional variablelength coding for graylevel picturesjATTBELLLABTECHJ6322492601984ABLJER0748612X OR 0748612XFri Nov 12 09:17:39 2010Compendex database; http://www.math.utah.edu/pub/tex/bib/bstj1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2010.11.12 09:17:39 ???This paper presents a new variablelength coding algorithm for bitrate reduction of digital images. The coding scheme is based on the fact that by taking into account the local conditional statistics of the picture, the coding efficiency can be improved considerably. Results of computer simulations are presented in terms of picture quality and required bit rate. Simulations show that for various Differential Pulse Code Modulation (DPCM) coded pictures, coding efficiency is such that a bit rate below the entropy of the DPCM quantizer output is attained. For a 3bit DPCM encoded picture, a bit rate of 1.64 bits/picture element is achieved.AT&T Bell Laboratories Technical Journaldata processing  code converters; pulse code modulationconditional variablelength coding; digital image reduction; graylevel picture codingacknhfbThis paper presents a new variablelength coding algorithm for bitrate reduction of digital images. The coding scheme is based on the fact that by taking into account the local conditional statistics of the picture, the coding efficiency can be improved considerably. Results of computer simulations are presented in terms of picture quality and required bit rate. Simulations show that for various Differential Pulse Code Modulation (DPCM) coded pictures, coding efficiency is such that a bit rate below the entropy of the DPCM quantizer output is attained. For a 3bit DPCM encoded picture, a bit rate of 1.64 bits/picture element is achieved.H. GharaviConditional variablelength coding for graylevel pictures
@Article{Gharavi:1984:CVL,
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bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/bstj1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
abstract = "This paper presents a new variablelength coding
algorithm for bitrate reduction of digital images. The
coding scheme is based on the fact that by taking into
account the local conditional statistics of the
picture, the coding efficiency can be improved
considerably. Results of computer simulations are
presented in terms of picture quality and required bit
rate. Simulations show that for various Differential
Pulse Code Modulation (DPCM) coded pictures, coding
efficiency is such that a bit rate below the entropy of
the DPCM quantizer output is attained. For a 3bit DPCM
encoded picture, a bit rate of 1.64 bits/picture
element is achieved.",
acknowledgement = acknhfb,
fjournal = "AT\&T Bell Laboratories Technical Journal",
keywords = "data processing  code converters; pulse code
modulation",
subject = "conditional variablelength coding; digital image
reduction; graylevel picture coding",
topic = "image processing",
}
z`zbAW !3+
3+#E};+
/techreportdatacompression.bibLangdon:1984:PVMGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data CompressionIBM research reportRJ4163 (46091)pubIBMpubIBM:adr18jan11984Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data Compression
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title = "Information Processing Systems  Data Communication
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URL = "http://www.tug.org/docs/liang/;
http://wwwlib.umi.com/dissertations/fullcit/8329742",
abstract = "This thesis describes research leading to an improved
word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
}hyphenating and inhibiting patterns. These are simply strings of letters that, when they match in a word, give us information about hyphenation at some point in the pattern. For example, `tion' and `cc' are good hyphenating patterns. An important feature of this method is that a suitable set of patterns can be extracted automatically from the dictionary. In order to represent the set of patterns in a compact form that is also reasonably efficient for searching, the author has developed a new data structure called a packed trie. This data structure allows the very fast search times characteristic of indexed tries, but in many cases it entirely eliminates the wasted space for null links usually present in such tries. We demonstrate the versatility and practical advantages of this data structure by using a variant of it as the critical component of the program that generates the patterns from the dictionary. The resulting hyphenation algorithm uses about 4500 patterns that compile into a packed trie occupying 25K bytes of storage. These patterns find 89\% of the hyphens in a pocket dictionary word list, with essentially no error. By comparison, the uncompressed dictionary occupies over 500K bytes.Franklin Mark LiangWord Hyphenation by Computer
@PhdThesis{Liang:1984:WHP,
author = "Franklin Mark Liang",
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bibdate = "Fri Jul 08 14:48:58 2005",
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URL = "http://www.tug.org/docs/liang/;
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abstract = "This thesis describes research leading to an improved
word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
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]BY 3)3O1m/=c;3#%3Ophdthesisdatacompression.bibLiang:1984:WHPFranklin Mark LiangWord Hyphenation by ComputerPh.D. dissertationComputer Science Department, Stanford UniversityStanford, CA, USA92mar31984Fri Jul 08 14:48:58 2005http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/texbook3.bib2005.07.08 14:48:58 ???http://www.tug.org/docs/liang/; http://wwwlib.umi.com/dissertations/fullcit/8329742This thesis describes research leading to an improved word hyphenation algorithm for the T(,E)X82 typesetting system. Hyphenation is viewed primarily as a data compression problem, where we are given a dictionary of words with allowable division points, and try to devise methods that take advantage of the large amount of redundancy present. The new hyphenation algorithm is based on the idea of hyphenating and inhibiting patterns. These are simply strings of letters that, when they match in a word, give us information about hyphenation at some point in the pattern. For example, `tion' and `cc' are good hyphenating patterns. An important feature of this method is that a suitable set of patterns can be extracted automatically from the dictionary. In order to represent the set of patterns in a compact form that is also reasonably efficient for searching, the author has developed a new data structure called a packed trie. This data structure allows the very fast search times characteristic of indexed tries, but in many cases it entirely eliminates the wasted space for null links usually present in such tries. We demonstrate the versatility and practical advantages of this data structure by using a variant of it as the critical component of the program that generates the patterns from the dictionary. The resulting hyphenation algorithm uses about 4500 patterns that compile into a packed trie occupying 25K bytes of storage. These patterns find 89% of the hyphens in a pocket dictionary word list, with essentially no error. By comparison, the uncompressed dictionary occupies over 500K bytes.acknhfbThis thesis describes research leading to an improved word hyphenation algorithm for the T(,E)X82 typesetting system. Hyphenation is viewed primarily as a data compression problem, where we are given a dictionary of words with allowable division points, and try to devise methods that take advantage of the large amount of redundancy present. The new hyphenation algorithm is based on the idea of life.bib;
http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Applications of formal grammars for generating graphic
fractals  ``graftals''  in the modeling of
plants.",
acknowledgement = ackds,
annote = "Graftals. Methods for displaying natural objects based
on formal language models are presented. In particular,
deterministic models are shown to exhibit sufficient
variety to be used in production graphic systems.",
fjournal = "Computer Graphics",
journalURL = "http://www.sciencedirect.com/science/journal/00978493",
keyword = "fractals; modelsgraphics; plants; automatatheory",
rawdata = "Smith, Alvy Ray (1984) ``Plants, Fractals and Formal
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miscdatacompression.bibWelch:1984:HSDTerry A. WelchHigh speed data compression and decompression apparatus and method1107aug81984Thu Feb 14 10:28:31 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.14 10:28:31 ???US Patent Application US19830505638 filed 20 June 1983. See also the related patent cite Eastman:1984:AMC issued on the same day.http://www.google.com/patents/US455830acknhfbUS Patent 4,558,302.Terry A. WelchUS Patent Application US19830505638 filed 20 June 1983. See also the related patent \cite{Eastman:1984:AMC} issued on the same day.High speed data compression and decompression apparatus and method
@Misc{Welch:1984:HSD,
author = "Terry A. Welch",
title = "High speed data compression and decompression
apparatus and method",
howpublished = "US Patent 4,558,302.",
day = "7",
month = aug,
year = "1984",
bibdate = "Thu Feb 14 10:28:31 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "US Patent Application US19830505638 filed 20 June
1983. See also the related patent
\cite{Eastman:1984:AMC} issued on the same day.",
URL = "http://www.google.com/patents/US455830",
acknowledgement = acknhfb,
}?CZ 3)1Y=)57E#;k/7w5kYi
articledatacompression.bibSmith:1984:PFFAlvy Ray Smith IIIPlants, Fractals, and Formal LanguagesjCOMPUTERSANDGRAPHICS183110jul71984CGRADI, CPGPBZ00978930 (print), 15584569 (electronic) OR 00978930 (print), 15584569 (electronic)00978930 OR 00978930Sat Jan 26 12:46:16 MST 2013Ai/alife.bib; http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTApplications of formal grammars for generating graphic fractals  ``graftals''  in the modeling of plants.Computer GraphicsackdsGraftals. Methods for displaying natural objects based on formal language models are presented. In particular, deterministic models are shown to exhibit sufficient variety to be used in production graphic systems.http://www.sciencedirect.com/science/journal/00978493Alvy Ray {Smith III}Applications of formal grammars for generating graphic fractals  ``graftals''  in the modeling of plants.Plants, Fractals, and Formal Languages
@Article{Smith:1984:PFF,
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note = "Applications of formal grammars for generating graphic
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} "Welch, T. A. (1984) ``A Technique for HighPerformance
Data Compression,'' {\it IEEE Computer},
{\bf17}(6):819, June.",
remark = "This is the paper with the LempelZivWelch (LZW)
algorithm that led to the famous Unix
compress/decompress programs (and the {.Z} file
extension), written by Spence Thomas at the University
of Utah in June 1984. It builds on prior work by Ziv
and Lempel \cite{Ziv:1977:UAS,Ziv:19778CIS} in
19771978.\par
Welch (the inventor) and Sperry Corporation (the
employer) applied for (on 20 June 1983), and received
(on 10 December 1985), a United States Patent (No.
4,558,302) on the algorithm (see
\pathhttp://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302),
and Unisys (which acquired Sperry in 1986) has since
regulated its use through licensing fees, notably from
Compuserv for its use in the GIF image format
compression.\par
The LZW decoding algorithm is widely held to be
unencumbered by patents.\par
About 1990, Adobe Systems licensed the LZW compression
algorithm from Unisys for use in the LZWEncode operator
in the Level 2 of the PostScript page description
language, so PostScriptproducing programs are required
to have a Unisys license in order to produce data for
that operator. Aladdin Software, the creators of
ghostscript, chose not to license the patent, and
instead, developed a completely different compression
algorithm that just happens to be decompressable with
the LZW decompression algorithm.\par
According to Salomon \cite[p.~216]{Salomon:2000:DCC},
``The patent expires on 10 December 2002, or 20 June
2003, depending on whether the GATT agreements
grandfather in existing patents or no. The first date
is 17 years from issuance of the patent (old U.S. law),
and the second is 20 years from the date of first
filing (a GATT requirement).''\par
In 1992, the GNU Project countered with gzip/gunzip
(and the {.gz} file extension), based on patentfree
algorithms, with better compression performance, and by
2000, those utilities had largely replaced
compress/decompress for Internet archives. gunzip will
uncompress a {.Z} file, but gzip will not create such a
file because of the patent.\par
In 1996, Julian R. Seward developed the bzip2/bunzip2
programs (and the .bz2 file extension), believed to be
patent free, based on the BurrowsWheeler
blocksorting text compression algorithm, and Huffman
coding, obtaining even better compression than gzip,
but at the expense of considerably longer running
times. The Unisys patent (United States Patent No.
4,558,302 (1985), Japanese Patent Numbers 2,123,602 and
2,610,084, and patents in Canada, France, Germany,
Italy and the United Kingdom) and license is discussed
at \path=http://www.unisys.com/about__unisys/lzw/= (URL
accurate on 16Jan2003).\par
In 1995, a collaborative group developed the Portable
Network Graphics (PNG) image file format in reaction to
the patent restrictions on the GIF format; see
\cite{Crocker:1995:PPN,Roelofs:1999:PDG}.",
}/datacompression.bib2013.01.26 12:46:16 MSTComputerThis is the paper with the LempelZivWelch (LZW) algorithm that led to the famous Unix compress/decompress programs (and the .Z file extension), written by Spence Thomas at the University of Utah in June 1984. It builds on prior work by Ziv and Lempel cite Ziv:1977:UAS,Ziv:19778CIS in 19771978.par Welch (the inventor) and Sperry Corporation (the employer) applied for (on 20 June 1983), and received (on 10 December 1985), a United States Patent (No. 4,558,302) on the algorithm (see path http://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302), and Unisys (which acquired Sperry in 1986) has since regulated its use through licensing fees, notably from Compuserv for its use in the GIF image format compression.par The LZW decoding algorithm is widely held to be unencumbered by patents.par About 1990, Adobe Systems licensed the LZW compression algorithm from Unisys for use in the LZWEncode operator in the Level 2 of the PostScript page description language, so PostScriptproducing programs are required to have a Unisys license in order to produce data for that operator. Aladdin Software, the creators of ghostscript, chose not to license the patent, and instead, developed a completely different compression algorithm that just happens to be decompressable with the LZW decompression algorithm.par According to Salomon cite [p.~216]Salomon:2000:DCC, ``The patent expires on 10 December 2002, or 20 June 2003, depending on whether the GATT agreements grandfather in existing patents or no. The first date is 17 years from issuance of the patent (old U.S. law), and the second is 20 years from the date of first filing (a GATT requirement).''par In 1992, the GNU Project countered with gzip/gunzip (and the .gz file extension), based on patentfree algorithms, with better compression performance, and by 2000, those utilities had largely replaced compress/decompress for Internet archives. gunzip will uncompress a .Z file, but gzip will not create such a file because of the patent.par In 1996, Julian R. Seward developed the bzip2/bunzip2 programs (and the .bz2 file extension), believed to be patent free, based on the BurrowsWheeler blocksorting text compression algorithm, and Huffman coding, obtaining even better compression than gzip, but at the expense of considerably longer running times. The Unisys patent (United States Patent No. 4,558,302 (1985), Japanese Patent Numbers 2,123,602 and 2,610,084, and patents in Canada, France, Germany, Italy and the United Kingdom) and license is discussed at path =http://www.unisys.com/about__unisys/lzw/= (URL accurate on 16Jan2003).par In 1995, a collaborative group developed the Portable Network Graphics (PNG) image file format in reaction to the patent restrictions on the GIF format; see cite Crocker:1995:PPN,Roelofs:1999:PDG.ackdshttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2Terry A. WelchA Technique for HighPerformance Data Compression
@Article{Welch:1984:THP,
author = "Terry A. Welch",
title = "A Technique for HighPerformance Data Compression",
journal = jCOMPUTER,
volume = "17",
number = "6",
pages = "819",
month = jun,
year = "1984",
CODEN = "CPTRB4",
DOI = "http://dx.doi.org/10.1109/MC.1984.1659158",
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ISSNL = "00189162",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/computer1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "Computer",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2",
rawdata = "Welch, T. A. (1984) ``A Technique for HighPerformance
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{\bf17}(6):819, June.",
remark = "This is the paper with the LempelZivWelch (LZW)
algorithm that led to the famous Unix
compress/decompress programs (and the {.Z} file
extension), written by Spence Thomas at the University
of Utah in June 1984. It builds on prior work by Ziv
and Lempel \cite{Ziv:1977:UAS,Ziv:19778CIS} in
19771978.\par
Welch (the inventor) and Sperry Corporation (the
employer) applied for (on 20 June 1983), and received
(on 10 December 1985), a United States Patent (No.
4,558,302) on the algorithm (see
\pathhttp://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302),
and Unisys (which acquired Sperry in 1986) has since
regulated its use through licensing fees, notably from
Compuserv for its use in the GIF image format
compression.\par
The LZW decoding algorithm is widely held to be
unencumbered by patents.\par
About 1990, Adobe Systems licensed the LZW compression
algorithm from Unisys for use in the LZWEncode operator
in the Level 2 of the PostScript page description
language, so PostScriptproducing programs are required
to have a Unisys license in order to produce data for
that operator. Aladdin Software, the creators of
ghostscript, chose not to license the patent, and
instead, developed a completely different compression
algorithm that just happens to be decompressable with
the LZW decompression algorithm.\par
According to Salomon \cite[p.~216]{Salomon:2000:DCC},
``The patent expires on 10 December 2002, or 20 June
2003, depending on whether the GATT agreements
grandfather in existing patents or no. The first date
is 17 years from issuance of the patent (old U.S. law),
and the second is 20 years from the date of first
filing (a GATT requirement).''\par
In 1992, the GNU Project countered with gzip/gunzip
(and the {.gz} file extension), based on patentfree
algorithms, with better compression performance, and by
2000, those utilities had largely replaced
compress/decompress for Internet archives. gunzip will
uncompress a {.Z} file, but gzip will not create such a
file because of the patent.\par
In 1996, Julian R. Seward developed the bzip2/bunzip2
programs (and the .bz2 file extension), believed to be
patent free, based on the BurrowsWheeler
blocksorting text compression algorithm, and Huffman
coding, obtaining even better compression than gzip,
but at the expense of considerably longer running
times. The Unisys patent (United States Patent No.
4,558,302 (1985), Japanese Patent Numbers 2,123,602 and
2,610,084, and patents in Canada, France, Germany,
Italy and the United Kingdom) and license is discussed
at \path=http://www.unisys.com/about__unisys/lzw/= (URL
accurate on 16Jan2003).\par
In 1995, a collaborative group developed the Portable
Network Graphics (PNG) image file format in reaction to
the patent restrictions on the GIF format; see
\cite{Crocker:1995:PPN,Roelofs:1999:PDG}.",
}
GY 33+%CQ3E=;M+>bookdatacompression.bibCappellini:1985:DCEVito CappelliniData compression and error control techniques with applicationspubACADEMICpubACADEMIC:adrxiv + 3041985012159260X OR 012159260X9780121592608 OR 9780121592608TK5102.5 .D336 1985Mon Jan 28 15:19:07 MST 2013clas.caltech.edu:210/INNOPAC; cliodb.cc.columbia.edu:7090/Voyager; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; z3950.loc.gov:7090/Voyager2013.01.28 15:19:07 MSTData compression (Telecommunication); Coding theory; Errorcorrecting codes (Information theory)acknhfbVito CappelliniData compression and error control techniques with applications
@Book{Cappellini:1985:DCE,
editor = "Vito Cappellini",
title = "Data compression and error control techniques with
applications",
publisher = pubACADEMIC,
address = pubACADEMIC:adr,
pages = "xiv + 304",
year = "1985",
ISBN = "012159260X",
ISBN13 = "9780121592608",
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bibdate = "Mon Jan 28 15:19:07 MST 2013",
bibsource = "clas.caltech.edu:210/INNOPAC;
cliodb.cc.columbia.edu:7090/Voyager;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
z3950.loc.gov:7090/Voyager",
acknowledgement = acknhfb,
subject = "Data compression (Telecommunication); Coding theory;
Errorcorrecting codes (Information theory)",
}oFU3+O+%E};O+bookdatacompression.bibBerstel:1985:TCJean Berstel and Dominique PerrinTheory of CodespubACADEMICpubACADEMIC:adr1985Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsJean Berstel and Dominique PerrinTheory of Codes
@Book{Berstel:1985:TC,
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title = "Theory of Codes",
publisher = pubACADEMIC,
address = pubACADEMIC:adr,
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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acknowledgement = ackds,
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}yQ[39W]57Ey;yqgKe3y[]sarticledatacompression.bibGonzalezSmith:1985:PADM. E. Gonzalez Smith and J. A. StorerParallel Algorithms for Data CompressionjJACM322344373apr41985JACOAH00045411 (print), 1557735X (electronic) OR 00045411 (print), 1557735X (electronic)00045411 OR 00045411Wed Jan 15 18:12:53 MST 1997Compendex database; ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/jacm.bib1997.01.15 18:12:53 MSThttp://www.acm.org/pubs/toc/Abstracts/00045411/3152.htmlParallel algorithms for data compression by textual substitution that are suitable for VLSI implementation are studied. Both `static' and `dynamic' dictionary schemes are considered.Journal of the Association for Computing MachineryAlgorithms; algomPX '3)3+K;CQC7;e+3/;mastersthesisdatacompression.bibFryer:1985:SDCJeffrey Keefe FryerA Survey of Data Compression Techniques and Their Application to VSPC Data SetsM.Sc.C.S.The University of New BrunswickFredericton, NB, Canada1985031523105X OR 031523105X9780315231054 OR 9780315231054Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/303433066Library scienceacknhfbJeffrey Keefe FryerA Survey of Data Compression Techniques and Their Application to {VSPC} Data Sets
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