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@InCollection{Paeth:1991:IFC,
author = "Alan W. Paeth",
editor = "James Arvo",
booktitle = "Graphics Gems II",
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Easy,'' {\it Graphics Gems II}, James Arvo, editor, San
Diego, CA, Academic Press.",
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@Misc{Simpson:1993:RPH,
author = "W. Simpson",
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Y
@InProceedings{Murashita:1996:HSS,
author = "K. Murashita and N. Satoh and Y. Okada and S.
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title = "Highspeed statistical compression using
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@Article{Liaw:1995:RGF,
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volume = "20",
number = "2",
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http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
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keywords = "CompuServe; GIF87a; GIF89a; Graphics Interchange
Format; Graphics interchange standard; Internet; LZW
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thesaurus = "Computer graphics; Electronic data interchange",
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Hilbert, D. (1891) ``Ueber stetige Abbildung einer
Linie auf ein Fl{\"a}chenst{\"u}ck,'' {\it Math.
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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.
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volume = "36",
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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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title = "{Zur Theorie der Orthogonalen Funktionensysteme}.
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author = "Ernest Vincent Wright",
title = "{Gadsby}; a story of over 50,000 words without using
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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
external storage requirements and to increase the rate
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for the automatic compression of numerical data, ANPAK
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note = "Also published in/as: File Organization, Siwerts and
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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
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
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itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
for the automatic compression of numerical data, ANPAK
for the automatic compression of ``any'' information,
and IOPAK for further compression of information to be
stored on tape or cards.",
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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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author = "Georges Eugene Husson",
title = "Data compression systems",
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school = "McGill University",
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subject = "Electrical engineering",
}@Y 3'+O]77E];9#+O_articledatacompression.bibLynn:1969:QCCKenneth C. LynnA quantitative comparison of conventional information compression techniques in dental literaturejAMDOC202149151apr41969AMDOA7http://dx.doi.org/10.1002/asi.46302002060096946X OR 0096946X0096946X OR 0096946XFri Sep 11 06:21:31 MDT 2015http://www.math.utah.edu/pub/tex/bib/amdoc.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2015.09.11 06:21:31 MDTAmerican Documentationacknhfbhttp://onlinelibrary.wiley.com/journal/10.1002/(ISSN)23301643/19 Apr 2007Kenneth C. LynnA quantitative comparison of conventional information compression techniques in dental literature
@Article{Lynn:1969:QCC,
author = "Kenneth C. Lynn",
title = "A quantitative comparison of conventional information
compression techniques in dental literature",
journal = jAMDOC,
volume = "20",
number = "2",
pages = "149151",
month = apr,
year = "1969",
CODEN = "AMDOA7",
DOI = "http://dx.doi.org/10.1002/asi.4630200206",
ISSN = "0096946X",
ISSNL = "0096946X",
bibdate = "Fri Sep 11 06:21:31 MDT 2015",
bibsource = "http://www.math.utah.edu/pub/tex/bib/amdoc.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
fjournal = "American Documentation",
journalURL = "http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)23301643/",
onlinedate = "19 Apr 2007",
}
;1X 35e%/;C7;e95m[phdthesisdatacompression.bibWilkins:1970:SDCLarry Clarke WilkinsStudies on Data Compression. Part I: Picture Coding By Contours. Part II: Error Analysis of RunLength CodesPh.D. thesisPurdue UniversityWest Lafayette, IN, USA3181970Fri 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/302522243Electrical engineeringacknhfbLarry Clarke WilkinsStudies on Data Compression. {Part I}: Picture Coding By Contours. {Part II}: Error Analysis of RunLength Codes
@PhdThesis{Wilkins:1970:SDC,
author = "Larry Clarke Wilkins",
title = "Studies on Data Compression. {Part I}: Picture Coding
By Contours. {Part II}: Error Analysis of RunLength
Codes",
type = "{Ph.D.} thesis",
school = "Purdue University",
address = "West Lafayette, IN, USA",
pages = "318",
year = "1970",
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/302522243",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "7109481",
subject = "Electrical engineering",
}W0X 31=/%1+C7;e9=3}phdthesisdatacompression.bibSchneider:1970:RDCKenneth Stuart SchneiderReliable Data Compression of Constant Rate Markov Sources for Fixed Rate ChannelsPh.D. thesisCornell UniversityIthaca, NY, USA3431970Fri 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/302518830Electrical engineeringacknhfbKenneth Stuart SchneiderReliable Data Compression of Constant Rate {Markov} Sources for Fixed Rate Channels
@PhdThesis{Schneider:1970:RDC,
author = "Kenneth Stuart Schneider",
title = "Reliable Data Compression of Constant Rate {Markov}
Sources for Fixed Rate Channels",
type = "{Ph.D.} thesis",
school = "Cornell University",
address = "Ithaca, NY, USA",
pages = "343",
year = "1970",
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/302518830",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "7101075",
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@Article{Neve:2000:ACR,
author = "P. De Neve and K. Denecker and W. Philips and I.
Lemahieu",
title = "An Advanced Color Representation for Lossy Compression
of {CMYK} Prepress Images",
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volume = "19",
number = "1",
pages = "????",
month = mar,
year = "2000",
CODEN = "CGFODY",
ISSN = "01677055 (print), 14678659 (electronic)",
ISSNL = #G
@Article{Netravali:1980:PCP,
author = "A. Netravali and J. O. Limb",
title = "Picture Coding: a Preview",
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volume = "68",
pages = "366406",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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acknowledgement = ackds,
fjournal = "Proceedings of the IEEE",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5",
rawdata = "Netravali, A. and J. O. Limb (1980) ``Picture Coding:
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@Article{Nelson:2002:IIJ,
author = "Mark R. Nelson",
title = "Inside {Intel}'s {JPEG} Library",
journal = jDDJ,
volume = "27",
number = "7",
pages = "38, 40, 42, 44",
month = jul,
year = "2002",
CODEN = "DDJOEB",
ISSN = "1044789X",
bibdate = "Fri Sep 13 06:15:52 MDT 2002",
bibsource = "http://www.ddj.com/articles/2002/0207/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://www.ddj.com/ftp/2002/2002_07/slide.zip",
abstract = "Mark examines Intel's Win32 JPEG Library, presents a
slideshow application he built to test it, and compares
Intel's library to Microsoft's standard IPicture
component. Additional resources include slide.zip
(source code).",
acknowledgement = acknhfb,
fjournal = "Dr. Dobb's Journal of Software Tools",
}X1
@Article{Nelson:1997:JZF,
author = "Mark R. Nelson and Mark Nelson",
title = "{Java} and the Zip File Format: Using {Java} to
compress and extract files",
journal = jDDJ,
volume = "22",
number = "12",
pages = "50, 5254, 102",
month = dec,
year = "1997",
CODEN = "DDJOEB",
ISSN = "1044789X",
bibdate = "Thu Nov 09 13:00:54 2000",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/java.bib",
abstract = "By compressing data and reducing the number of
download transactions, Sun's java.util.zip package
speeds the loading of applet components across the
Internet. Datacompression guru Mark Nelson examines
this package.",
acknowledgement = acknhfb,
fjournal = "Dr. Dobb's Journal of Software Tools",
}l3
@Article{Nelson:1991:DDC,
author = "Mark R. Nelson",
title = "{DDJ} Data Compression'O
@Article{Neuburger:2010:BRB,
author = "Shoshana Neuburger",
title = "Book Review: {{\booktitle{The BurrowsWheeler
Transform: Data Compression, Suffix Arrays, and Pattern
Matching}}, by Donald Adjeroh, Timothy Bell and Amar
Mukherjee Springer, 2008}",
journal = jSIGACT,
volume = "41",
number = "1",
pages = "2124",
month = mar,
year = "2010",
CODEN = 1:16 MST 2001",
bibsource = "http://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.bib",
abstract = "The 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.",
acknowledgement = acknhfb,
classcodes = "C6130 (Data handling techniques); C7890 (Other special
applications of computing)",
corpsource = "Pacific Southwest Forest and Range Experiment Station,
Berkeley, CA, USA",
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "data compression; data reduction; data reduction and
analysis; data strings; forest resource maps;
information retrieval; input/output; map; map storage;
run coding; storage",
oldlabel = "AmidonA71",
treatment = "P Practical",
XMLdata = "ftp://ftp.informatik.unitrier.de/pub/users/Ley/bib/records.tar.gz#journals/cacm/AmidonA71",
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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
@Article{Amidon:1971:ASB,
author = "E. L. Amidon and G. S. Akin",
title = "Algorithmic Selection of the Best Method for
Compressing Map Data Strings",
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volume = "14",
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pages = "769774",
month = dec,
year = "1971",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Mon Jan 22 06:21:16 MST 2001",
bibsource = "http://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.bib",
abstract = "The 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.",
acknowledgement = acknhfb,
classcodes = "C6130 (Data handling techniques); C7890 (Other special
applications of computing)",
corpsource = "Pacific Southwest Forest and Range Experiment Station,
Berkeley, CA, USA",
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "data compression; data reduction; data reduction and
analysis; data strings; forest resource maps;
information retrieval; input/output; map; map storage;
run coding; storage",
oldlabel = "AmidonA71",
treatment = "P Practical",
XMLdata = "ftp://ftp.informatik.unitrier.de/pub/users/Ley/bib/records.tar.gz#journals/cacm/AmidonA71",
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.4V3+[U+!_77Ei;kO_[UI/articledatacompression.bibPosner:1971:EEDEdward C. Posner and Eugene R. RodemichEpsilon Entropy and Data CompressionjANNMATHSTAT42620792125dec121971AASTADhttp://dx.doi.org/10.1214/aoms/117769307700034851 OR 0003485100034851 OR 00034851Sat May 31 09:11:21 MDT 2014http://www.math.utah.edu/pub/tex/bib/annmathstat.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2014.05.31 09:11:21 MDThttp://projecteuclid.org/euclid.aoms/1177693077Annals of Mathematical Statisticsacknhfbhttp://projecteuclid.org/all/euclid.aoms/Edward C. Posner and Eugene R. RodemichEpsilon Entropy and Data Compression
@Article{Posner:1971:EED,
author = "Edward C. Posner and Eugene R. Rodemich",
title = "Epsilon Entropy and Data Compression",
journal = jANNMATHSTAT,
volume = "42",
number = "6",
pages = "20792125",
month = dec,
year = "1971",
CODEN = "AASTAD",
DOI = "http://dx.doi.org/10.1214/aoms/1177693077",
ISSN = "00034851",
ISSNL = "00034851",
bibdate = "Sat May 31 09:11:21 MDT 2014",
bibsource = "http://www.math.utah.edu/pub/tex/bib/annmathstat.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://projecteuclid.org/euclid.aoms/1177693077",
acknowledgement = acknhfb,
fjournal = "Annals of Mathematical Statistics",
journalURL = "http://projecteuclid.org/all/euclid.aoms/",
}O3Y 3+#!!CQE5;U#YDbookdatacompression.bibBerger:1971:RDTToby BergerRate distortion theory; a mathematical basis for data compressionpubPHpubPH:adrxiii + 31119710137531036 OR 01375310369780137531035 OR 9780137531035Q385 .B47Mon Jan 28 15:19:07 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; z3950.loc.gov:7090/Voyager2013.01.28 15:19:07 MSTPrenticeHall series in information and system sciences; PrenticeHall electrical engineering seriesRate distortion theory; Coding theory; Information theoryacknhfbToby BergerRate distortion theory; a mathematical basis for data compression
@Book{Berger:1971:RDT,
author = "Toby Berger",
title = "Rate distortion theory; a mathematical basis for data
compression",
publisher = pubPH,
address = pubPH:adr,
pages = "xiii + 311",
year = "1971",
ISBN = "0137531036",
ISBN13 = "9780137531035",
LCCN = "Q385 .B47",
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",
series = "PrenticeHall series in information and system
sciences; PrenticeHall electrical engineering series",
acknowledgement = acknhfb,
subject = "Rate distortion theory; Coding theory; Information
theory",
}
Ju_?
@Article{Rubin:1979:ASC,
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rawdata = "Roetling, P. G. (1976) ``Halftone Method with Edge
Enhancement and Moir\'e Suppression,'' {\it Journal of
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}d'O
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http://www.math.utah.edu/pub/tex/bib/tugboat.bib",
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fjournal = "TUGboat",
rawdata = "Rokicki, Tomas (1985) ``Packed (PK) Font File
Format,'' {\it TUGboat}, {\bf6}(3):115120. Available
at
http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf.",
}ه9
@Article{Roger:1996:LCA,
author = "R. E. Roger and M. C. Cavenor",
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rawdata = "Roger, R. E., and M. C. Cavenor (1996) ``Lossless
Compression of AVIRIS Images,'' {\it IEEE Transactions
on Image Processing}, {\bf5}(5):713719, May.",
}P/
@Article{Roetling:1977:BAC,
author = "P. G. Roetling",
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fjournal = "Photographic Science and Engineering",
rawdata = "Roetling, P. G. (1977) ``Binary Approximation of
Continuous Tone Images,'' {\it Photography Science and
Engineering}, {\bf21}:6065.",
xxjournal = "Photography Science and Engineering",
}n
t +t47V 3)'u%9/C7;e)'ukphdthesisdatacompression.bibDosik:1972:OBCPaul H. DosikAn Optimal Buffer Controlled Data Compression SystemPh.D. thesisPolytechnic UniversityNew York, NY, USA1901972Fri 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/302676863Systems designacknhfbPaul H. DosikAn Optimal Buffer Controlled Data Compression System
@PhdThesis{Dosik:1972:OBC,
author = "Paul H. Dosik",
title = "An Optimal Buffer Controlled Data Compression System",
type = "{Ph.D.} thesis",
school = "Polytechnic University",
address = "New York, NY, USA",
pages = "190",
year = "1972",
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/302676863",
acknowledgement = acknhfb,
classification = "0790: Systems design",
dissertationthesisnumber = "7228226",
subject = "Systems design",
}M6U 3E};QEmiscdatacompression.bibAnonymous:1972:GAnonymousG.7111972Sat Jan 26 12:46:12 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:12 MSThttp://en.wikipedia.org/wiki/G.711ackdsAnonymous{G.711}
@Misc{Anonymous:1972:G,
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title = "{G.711}",
pages = "??",
year = "1972",
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bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://en.wikipedia.org/wiki/G.711",
acknowledgement = ackds,
rawdata = "G.711 (1972) http://en.wikipedia.org/wiki/G.711.",
}5X 3+/;57E};[/C
articledatacompression.bibRudner:1971:CMRB. RudnerConstruction of MinimumRedundancy Codes with an Optimum Synchronization PropertyjIEEETRANSINFTHEORY174478487jul71971IETTAW00189448 (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 TheoryackdsB. RudnerConstruction of MinimumRedundancy Codes with an Optimum Synchronization Property
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Optimum Synchronization Property",
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pages = "478487",
month = jul,
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fjournal = "IEEE Transactions on Information Theory",
rawdata = "Rudner, B. (1971) ``Construction of MinimumRedundancy
Codes with an Optimum Synchronization Property,'' {\it
IEEE Transactions on Information Theory},
{\bf17}(4):478487, July.",
}ssion.bib",
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rawdata1 = "Gardner, Martin (1972) ``Mathematical Games,'' {\it
Scientific American}, {\bf227}(2):106, August. Gemstar
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rawdata2 = "Gardner, Martin (1972) ``Mathematical Games,'' {\it
Scientific American}, {\bf227}(2):106, August. Gemstar
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9
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Standard,'' {\it IEEE Transactions on Broadcasting},
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}
@Article{Shinya:1998:PMS,
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({French}) [{Representation} of the natural numbers by
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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}
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author = "Richard E. Grimm",
title = "The Autobiography of {Leonardo Pisano}",
journal = jFIBQUART,
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number = "1",
pages = "99104",
month = feb,
year = "1973",
CODEN = "FIBQAU",
ISSN = "00150517",
ISSNL = "00150517",
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rawdata = "Grimm, R. E. (1973) ``The Autobiography of Leonardo
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}/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''}
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author = "Charles J. Gibbons and M. Wells",
title = "Correspondence: On {``File Compression Using Variable
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journal = jCOMPJ,
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pages = "287287",
month = aug,
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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}.",
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fjournal = "The Computer Journal",
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`%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",
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}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,
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title = "The Art of Computer Programming, Volume 1, Fundamental
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}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
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address = "Stanford, CA, USA",
pages = "149",
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acknowledgement = acknhfb,
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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,
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}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
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author = "Robert Tien Pei Wang",
title = "A Study of the Structure of Television Pictures as
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}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,
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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}.
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bibsource = "Compendex database;
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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,
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@Article{Gallager:1975:OSC,
author = "Robert G. Gallager and David C. van Voorhis",
title = "Optimal Source Codes for Geometrically Distributed
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journal = jIEEETRANSINFTHEORY,
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address = "College Park, MD, USA",
pages = "86",
year = "1981",
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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
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@PhdThesis{Kurien:1983:PDC,
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title = "A Partitioned Data Compression Algorithm",
type = "{Ph.D.} thesis",
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pages = "167",
year = "1983",
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@PhdThesis{Kohlhaas:1972:CFC,
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title = "Calculation of Formation Compression From Core and
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school = "Colorado School of Mines",
address = "Golden, CO, 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
@PhdThesis{Hilbert:1975:JCS,
author = "Edward Erwin Hilbert",
title = "A Joint Clustering \slash Data Compression Concept",
type = "{Ph.D.} thesis",
school = "University of Southern California",
address = "Los Angeles, CA, USA",
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year = "1975",
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classification = "0544: Electrical engineering",
dissertationthesisnumber = "0510317",
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} http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
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
generator is computed through the linear combination of
the linearly dependent elements. The total length of
these two subblocks is generally shorter (never
greater) than the original block.",
acknowledgement = acknhfb,
classcodes = "B6110 (Information theory); C1260 (Information
theory); C6130 (Data handling techniques)",
classification = "723",
corpsource = "IBM, White Plains, 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 = "binary; binary number compression; CPUs; data base;
data bases; data compression; data processing;
information block; information compression; information
statistics; information theory; information theory 
Data Compression; number reconstruction; one pass
algorithm; statistical analysis; statistics",
treatment = "T Theoretical or Mathematical",
}T997.03.25 14:26:59 MSTA 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 generator is computed through the linear combination of the linearly dependent elements. The total length of these two subblocks is generally shorter (never greater) than the original block.IBM Journal of Research and Developmentbinary; binary number compression; CPUs; data base; data bases; data compression; data processing; information block; information compression; information statistics; information theory; information theory  Data Compression; number reconstruction; one pass algorithm; statistical analysis; statisticsacknhfbB6110 (Information theory); C1260 (Information theory); C6130 (Data handling techniques)IBM, White Plains, NY, USAhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520IBM J Res DevT Theoretical or MathematicalA 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 generator is computed through the linear combination of the linearly dependent elements. The total length of these two subblocks is generally shorter (never greater) than the original block.H. Ling and F. P. PalermoBlockOriented Information Compression
@Article{Ling:1975:BOI,
author = "H. Ling and F. P. Palermo",
title = "BlockOriented Information Compression",
journal = jIBMJRD,
volume = "19",
number = "2",
pages = "141145",
month = mar,
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CODEN = "IBMJAE",
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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
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generator is computed through the linear combination of
the linearly dependent elements. The total length of
these two subblocks is generally shorter (never
greater) than the original block.",
acknowledgement = acknhfb,
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algorithm; statistical analysis; statistics",
treatment = "T Theoretical or Mathematical",
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http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/",
URL = "http://comjnl.oxfordjournals.org/content/18/2/157.full.pdf+html;
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http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_02/tiff/158.tif;
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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
@Article{Mayne:1975:ICF,
author = "A. Mayne and E. B. James",
title = "Information Compression by Factorising Common
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journal = jCOMPJ,
volume = "18",
number = "2",
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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''}
@Article{Shanmugam:1975:CDC,
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acknowledgement = acknhfb,
fjournal = "IEEE Transactions on Computers",
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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
@Article{Turner:1975:GCS,
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title = "The `onground' compression of satellite data",
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number = "3",
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bibdate = "Tue Dec 4 14:47:56 MST 2012",
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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/",
URL = "http://comjnl.oxfordjournals.org/content/18/3/243.full.pdf+html;
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FYY3Os57Ek;I?wGOs5articledatacompression.bibBentley:1976:AOAJ. L. Bentley and A. ChiChih YaoAn Almost Optimal Algorithm for Unbounded SearchingjINFOPROCLETT538287aug81976IFPLAT00200190 (print), 18726119 (electronic) OR 00200190 (print), 18726119 (electronic)00200190 OR 00200190Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/infoproc1970.bib2013.01.26 12:46:16 MSTInformation Processing Lettersalgorithm; almost optimal; comparison searching; table; table lookup; unbounded searchingackdsDept. of Computer Sci., Univ. of North Carolina, Chapel Hill, NC, USAhttp://www.sciencedirect.com/science/journal/00200190T Theoretical or MathematicalJ. L. Bentley and A. ChiChih YaoAn Almost Optimal Algorithm for Unbounded Searching
@Article{Bentley:1976:AOA,
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title = "An Almost Optimal Algorithm for Unbounded Searching",
journal = jINFOPROCLETT,
volume = "5",
number = "3",
pages = "8287",
day = "??",
month = aug,
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B\W3QC5CQ3Eq;sQobookdatacompression.bibDavisson:1976:DCLee D. Davisson and Robert M. GrayData compression14Dowden, Hutchinson and RossStroudsburg, PA, USAxv + 40719760879330899 OR 08793308999780879330897 OR 9780879330897TK5102.5 .D335 1976Mon Jan 28 15:19:07 MST 2013clas.caltech.edu:210/INNOPAC; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; z3950.loc.gov:7090/Voyager2013.01.28 15:19:07 MSTBenchmark papers in electrical engineering and computer scienceData compression (Telecommunication); Coding theoryacknhfbLee D. Davisson and Robert M. GrayData compression
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editor = "Lee D. Davisson and Robert M. Gray",
title = "Data compression",
volume = "14",
publisher = "Dowden, Hutchinson and Ross",
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type = "[unknown]",
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"""%
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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{Rossling:2009:VCA,
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journal = jSIGCSE,
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@Article{Rubin:1976:ETF,
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@Article{Rubin:1979:ASC,
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@Article{Rudner:1971:CMR,
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title = "RecordOriented Data Compression",
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pages = "83??",
month = apr,
year = "1994",
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bibdate = "Fri Aug 30 16:52:23 MDT 1996",
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@Article{Roth:1993:DC,
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month = sep,
year = "1993",
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ISSN = "01635808 (print), 19435835 (electronic)",
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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 \\
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}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
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abstract = "Various compression techniques are discussed, along
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DOI = "http://dx.doi.org/10.1109/DCC.2002.1000020",
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}zzU3_U!E};__Uwbookdatacompression.bibRabiner:1978:DPSLawrence R. Rabiner and Ronald W. SchaferDigital Processing of Speech SignalspubPHpubPH:adr1978Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTPrenticeHall Series in Signal ProcessingackdsLawrence R. Rabiner and Ronald W. SchaferDigital Processing of Speech Signals
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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
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classification = "0544: Electrical engineering",
dissertationthesisnumber = "8105828",
subject = "Electrical engineering",
}3
@PhdThesis{Markas:1993:DCA,
author = "Tassos Markas",
title = "Data compression: Algorithms and architectures",
type = "{Ph.D.} thesis",
school = "Duke University",
address = "Durham, NC 27708, USA",
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acknowledgement = acknhfb,
advisor = "John H. Reif",
classification = "0544: Electrical engineering; 0984: Computer
science",
dissertationthesisnumber = "9405986",
subject = "Electrical engineering; Computer science",
}'Q
@PhdThesis{Ma:1978:DC,
author = "Joong Soo Ma",
title = "Data Compression",
type = "{Ph.D.} thesis",
school = "University of Massachusetts Amherst",
address = "Amherst, MA, USA",
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classification = "0544: Electrical engineering",
dissertationthesisnumber = "7903802",
subject = "Electrical engineering",
}y
t
V 3)};57E};[}?articledatacompression.bibRubin:1979:ASCF. RubinArithmetic Stream Coding Using Fixed Precision RegistersjIEEETRANSINFTHEORY256672675nov111979IETTAW00189448 (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 TheoryackdsF. RubinArithmetic Stream Coding Using Fixed Precision Registers
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author = "F. Rubin",
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journal = jIEEETRANSINFTHEORY,
volume = "25",
number = "6",
pages = "672675",
month = nov,
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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Fixed Precision Registers,'' {\it IEEE Transactions on
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@Misc{Rice:1979:SPU,
author = "Robert F. Rice",
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type = "JPL Publication",
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Noiseless Coding Techniques,'' Jet Propulsion
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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
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type = "{Ph.D.} thesis",
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}X 3)#k'c57EC;u'#W#{kKarticledatacompression.bibRubin:1979:CADFrank RubinCryptographic Aspects of Data Compression CodesjCRYPTOLOGIA34202205oct101979CRYPE6http://dx.doi.org/10.1080/016111799185406101611194 (print), 15581586 (electronic) OR 01611194 (print), 15581586 (electronic)01611194 OR 01611194Mon Jun 30 15:38:28 MDT 2008http://ourworld.compuserve.com/homepages/crypto/BIBALL.HTM; http://www.dean.usma.edu/math/pubs/cryptologia/; http://www.math.utah.edu/pub/tex/bib/cryptologia.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2008.06.30 15:38:28 MDTSee also em Comm. ACM, 19 (November 1976): 616623.http://www.informaworld.com/smpp/content~content=a741902806~db=all~order=pageCryptologiaacknhfbhttp://www.tandfonline.com/loi/ucry20Frank RubinSee also {\em Comm. ACM}, 19 (November 1976): 616623.Cryptographic Aspects of Data Compression Codes
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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)",
ISSNL = "01611194",
bibdate = "Mon Jun 30 15:38:28 MDT 2008",
bibsource = "http://ourworld.compuserve.com/homepages/crypto/BIBALL.HTM;
http://www.dean.usma.edu/math/pubs/cryptologia/;
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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,
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journalURL = "http://www.tandfonline.com/loi/ucry20",
romanvolume = "III",
xxtitle = "Crypto of Data Compression Codes",
xxtitle = "Experiments in Text File Compression",
}base;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/jacm.bib",
abstract = "Several fast algorithms are presented for computing
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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",
}
gO
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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
@Article{Tarjan:1979:APC,
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",
bibdate = "Wed Jan 15 18:12:53 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/jacm.bib",
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",
}
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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S&[3)q57E ;s]}sqSarticledatacompression.bibIshii:1982:HEDAtsushi Ishii and Kenji Kouno and Yasunori MaezawaHighly Efficient Data Compression Method for Newspaper Image DatajFUJITSUSCITECHJV 18N 2199225jun61982FUSTA400162523 OR 00162523Mon Dec 16 08:30:04 MST 1996Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/typeset.bib1996.12.16 08:30:04 MSTA 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 prǡ%[3'?a_57CS;35Y[O#?eQarticledatacompression.bibBell:1982:KSCD. A. Bell and S. M. DeenKey Space Compression and Hashing in PRECIjCOMPJ254486492nov111982CMPJA6http://dx.doi.org/10.1093/comjnl/25.4.48600104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:48:13 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/25/4.toc; http://www.mĊ8$Y 3131a9E5;7bookdatacompression.bibAnonymous:1982:DCHAnonymousData compression hardware and software market: Data compression products in the U.SFrost and Sullivan106 Fulton Strett, New York 10038, NY, USAvii + 184may51982HD9696.D383 U6316 1982Mon Jan 28 15:19:07 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; z3950.loc.gov:7090/Voyager2013.01.28 15:19:07 MSTData transmission equipment industry; United States; Market surveysacknhfbAnonymousData compression hardware and software market: Data compression products in the {U.S}
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}!#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
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URL = "http://comjnl.oxfordjournals.org/content/25/4/486.full.pdf+html;
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j{o_
@Article{Deng:2017:EOD,
author = "Ze Deng and Wei Han and Lizhe Wang and Rajiv Ranjan
and Albert Y. Zomaya and Wei Jie",
title = "An efficient online directionpreserving compression
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volume = "68",
number = "??",
pages = "150162",
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CODEN = "FGSEVI",
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Slowack and Rik van de Walle and Peter Schelkens and
Adrian Munteanu",
title = "Progressively refined {WynerZiv} video coding for
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volume = "10",
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@Article{Deng:2012:VIA,
author = "Aidong Deng and Jianeng Tang and Li Zhao and Cairong
Zou",
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DOI = "http://dx.doi.org/10.1080/00949655.2011.587423",
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acknowledgement = acknhfb,
fjournal = "Journal of Statistical Computation and Simulation",
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@Article{Bell:1982:KSC,
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acknowledgement = acknhfb,
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(DBMS))",
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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;
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data compression; screen dot image data; typesetting
 computer applications",
}
];
@Article{Liu:1991:RDC,
author = "Chengwen Liu and Clement Yu",
title = "Research: Data compression using word encoding with
{Huffman} code",
journal = jJAMSOCINFSCI,
volume = "42",
number = "9",
pages = "685698",
month = oct,
year = "1991",
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author = "H. Ling and F. P. Palermo",
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month = mar,
year = "1975",
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b;
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@Article{Lindley:1995:JLIa,
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pages = "50, 52, 5458",
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author = "Ming Liou",
title = "Overview of the p$ \times $ 64 kbits/s Video Coding
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journal = jCACM,
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number = "4",
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month = apr,
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rawdata = "Liou, Ming (1991) ``Overview of the p$\times$64
kbits/s Video Coding Standard,'' {\it Communications of
the ACM}, {\bf34}(4):5963, April.",
}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
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volume = "V 18",
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pages = "199225",
month = jun,
year = "1982",
CODEN = "FUSTA4",
ISSN = "00162523",
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bibsource = "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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@Book{Mandelbrot:1982:FGN,
author = "Beno{\^\i}t B. Mandelbrot",
title = "The Fractal Geometry of Nature",
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year = "1982",
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MRclass = "00A69 (5101 54F45 85A35 86A99)",
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Referee]",
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}'V 3)#O;57E};[#S' articledatacompression.bibLloyd:1982:LSQS. P. LloydLeast Squares Quantization in PCMjIEEETRANSINFTHEORYIT28129137mar31982IETTAW00189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:12 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:12 MSTIEEE Transactions on Information TheoryackdsS. P. LloydLeast Squares Quantization in {PCM}
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author = "S. P. Lloyd",
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volume = "IT28",
pages = "129137",
month = mar,
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CODEN = "IETTAW",
ISSN = "00189448 (print), 15579654 (electronic)",
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Referee]",
ZMnumber = "Zbl 0504.28001",
acknowledgement = ackds # " and " # acknhfb,
rawdata = "Mandelbrot, B. (1982) {\it The Fractal Geometry of
Nature}, San Francisco, CA, W. H. Freeman.",
remark = "Revised edition of \cite{Mandelbrot:1977:FFC}.",
}
s"y
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})9
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Acoustics, Speech, and Signal Processing",
title = "Adaptive Block Truncation Coding Scheme Using an Edge
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@PhdThesis{Chen:1999:SDC,
author = "Xiao Chen",
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@Book{Li:1997:VDC,
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@Book{Lange:2010:AP,
author = "Kenneth Lange",
title = "Applied probability",
publisher = "Springer Science+Business Media, LLC",
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@Book{Lafe:2000:CAT,
author = "Olu Lafe",
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@Article{Cleary:1984:DCU,
author = "John G. Cleary and I. H. Witten",
title = "Data Compression Using Adaptive Coding and Partial
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journal = jIEEETRANSCOMM,
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},8X 3+7%1C7;e97_phdthesisdatacompression.bibCathey:1984:DCNSilvia Gilbert CatheyData Compression for Noiseless Channels (Huffman Codes, Lattice Theory)Ph.D. thesisClemson UniversityClemson, SC, USA1371984Fri 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/303289543Electrical engineeringacknhfbSilvia Gilbert CatheyData Compression for Noiseless Channels ({Huffman} Codes, Lattice Theory)
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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
away from LZW compression to several other methods that
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URL = "http://www.google.com/patents/US4464650;
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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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}:\3!=};Q5!miscdatacompression.bibEastman:1984:AMCWillard L. Eastman and Abraham Lempel and Jacob Ziv and Martin CohnApparatus and method for compressing data signals and restoring the signal3964027aug81984Thu Feb 14 10:33:02 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.14 10:33:02 ???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 away from LZW compression to several other methods that are patent free.http://www.google.com/patents/US4464650; https://en.wikipedia.org/wiki/Graphics_Interchange_FormatacknhfbUS Patent 4,558,302.Willard L. Eastman and Abraham Lempel and Jacob Ziv and Martin CohnUS 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 away from LZW compression to several other methods that are patent free.Apparatus and method for compressing data signals and restoring the signal
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author = "Willard L. Eastman and Abraham Lempel and Jacob Ziv
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howpublished = "US Patent 4,558,302.",
day = "7",
month = aug,
year = "1984",
bibdate = "Thu Feb 14 10:33:02 2013",
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note = "US Patent Application 291,870 filed 10 August 1981.
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@PhdThesis{Stewart:1981:TDC,
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school = "Stanford University",
address = "Stanford, CA, USA",
pages = "137",
year = "1981",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
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@PhdThesis{Spaan:2000:ERC,
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title = "Error resilient compression of digital video data",
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address = "Princeton, NJ, USA",
pages = "106",
year = "1967",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
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@PhdThesis{Southard:1995:VQN,
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address = "Lowell, MA, USA",
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year = "1995",
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address = "Stanford, CA, USA",
pages = "101",
year = "1979",
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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
@Article{Ferguson:1984:SSH,
author = "T. J. Ferguson and J. H. Rabinowitz",
title = "SelfSynchronizing {Huffman} codes",
journal = jIEEETRANSINFTHEORY,
volume = "30",
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pages = "687693",
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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
@InProceedings{Gamal:1984:IDC,
author = "A. El Gamal and A. Orlitsky",
title = "Interactive Data Compression",
crossref = "IEEE:1984:ASF",
pages = "100108",
year = "1984",
bibdate = "Thu Apr 5 06:13:39 MDT 2001",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
}ib/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",
}
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,
author = "H. Gharavi",
title = "Conditional variablelength coding for graylevel
pictures",
journal = jATTBELLLABTECHJ,
volume = "63",
number = "2",
pages = "249260",
year = "1984",
CODEN = "ABLJER",
ISSN = "0748612X",
bibdate = "Fri Nov 12 09:17:39 2010",
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
@TechReport{Langdon:1984:PVM,
author = "Glen G. Langdon",
title = "On Parsing vs. MixedOrder Model Structures for Data
Compression",
type = "IBM research report",
number = "RJ4163 (46091)",
institution = pubIBM,
address = pubIBM:adr,
pages = "??",
day = "18",
month = jan,
year = "1984",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Langdon, Glen G. (1984) {\it On Parsing vs.
MixedOrder Model Structures for Data Compression}, IBM
research report RJ4163 (46091), January 18, 1984, San
Jose, CA.",
}@W 3%wE};{omiscdatacompression.bibISO:1984:IPSISOInformation Processing Systems  Data Communication HighLevel Data Link Control ProcedureFrame Structure: IS 3309Thirdoct101984Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsISOInformation Processing Systems  Data Communication HighLevel Data Link Control ProcedureFrame Structure: {IS 3309}
@Misc{ISO:1984:IPS,
author = "ISO",
title = "Information Processing Systems  Data Communication
HighLevel Data Link Control ProcedureFrame Structure:
{IS 3309}",
edition = "Third",
pages = "??",
month = oct,
year = "1984",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "ISO (1984) ``Information Processing SystemsData
Communication HighLevel Data Link Control
ProcedureFrame Structure,'' IS 3309, 3rd ed.,
October.",
}www.math.utah.edu/pub/tex/bib/texbook3.bib",
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",
title = "Word Hyphenation by Computer",
type = "{Ph.D.} dissertation",
school = "Computer Science Department, Stanford University",
address = "Stanford, CA, USA",
pages = "92",
month = mar,
year = "1984",
bibdate = "Fri Jul 08 14:48:58 2005",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/texbook3.bib",
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,
}
]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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xxauthor = "Alvy Ray Smith",
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AAxDY 3))=};Y5)I
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,
author = "Alvy Ray {Smith III}",
title = "Plants, Fractals, and Formal Languages",
journal = jCOMPUTERSANDGRAPHICS,
volume = "18",
number = "3",
pages = "110",
month = jul,
year = "1984",
CODEN = "CGRADI, CPGPBZ",
ISSN = "00978930 (print), 15584569 (electronic)",
ISSNL = "00978930",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "Ai/alife.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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xxauthor = "Alvy Ray Smith",
} "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",
ISSN = "00189162 (print), 15580814 (electronic)",
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
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}.",
}
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
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editor = "Vito Cappellini",
title = "Data compression and error control techniques with
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acknowledgement = acknhfb,
subject = "Data compression (Telecommunication); Coding theory;
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}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,
author = "Jean Berstel and Dominique Perrin",
title = "Theory of Codes",
publisher = pubACADEMIC,
address = pubACADEMIC:adr,
pages = "??",
year = "1985",
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bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Berstel, Jean and Dominique Perrin (1985) {\it Theory
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}4EX 3))o!_57Ek;S)o{articledatacompression.bibWelch:1984:THPTerry A. WelchA Technique for HighPerformance Data CompressionjCOMPUTER176819jun61984CPTRB4http://dx.doi.org/10.1109/MC.1984.165915800189162 (print), 15580814 (electronic) OR 00189162 (print), 15580814 (electronic)00189162 OR 00189162Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/computer1980.bib; http://www.math.utah.edu/pub/tex/bib
U!IU 3'![377E};g!_5articledatacompression.bibCole:1985:NPPA. J. ColeA Note on Peano Polygons and Gray CodesjINTJCOMPUTMATH183131985IJCMAT00207160 OR 0020716000207160 OR 00207160Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTInternational Journal of Computer MathematicsackdsA. J. ColeA Note on {Peano} Polygons and Gray Codes
@Article{Cole:1985:NPP,
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title = "A Note on {Peano} Polygons and Gray Codes",
journal = jINTJCOMPUTMATH,
volume = "18",
pages = "313",
year = "1985",
CODEN = "IJCMAT",
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fjournal = "International Journal of Computer Mathematics",
rawdata = "Cole, A. J. (1985) ``A Note on Peano Polygons and Gray
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}'HY'3a#E};a inproceedingsdatacompression.bibChoueka:1985:EVHY. Choueka and Shmuel T. Klein and Y. PerlProceedings of the 8th ACMSIGIR Conference, Montreal, QC, CanadaEfficient Variants of Huffman Codes in High Level LanguagespubACMpubACM:adr1221301985Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsY. Choueka and Shmuel T. Klein and Y. PerlProceedings of the 8th ACMSIGIR Conference, Montr{\'e}al, QC, CanadaEfficient Variants of {Huffman} Codes in High Level Languages
@InProceedings{Choueka:1985:EVH,
author = "Y. Choueka and Shmuel T. Klein and Y. Perl",
booktitle = "Proceedings of the 8th ACMSIGIR Conference,
Montr{\'e}al, QC, Canada",
title = "Efficient Variants of {Huffman} Codes in High Level
Languages",
publisher = pubACM,
address = pubACM:adr,
pages = "122130",
year = "1985",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Choueka Y., Shmuel T. Klein, and Y. Perl (1985)
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Languages,'' {\it Proceedings of the 8th ACMSIGIR
Conference}, Montreal, pp. 122130.",
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annote = "first partition into IMS based types, then Huffman.
Gives factor two space, adds 17pct time.",
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "design; IMS compression one (entire) record at a
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subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
compaction and compression. {\bf H.2.0}: Information
Systems, DATABASE MANAGEMENT, General.",
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}{
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}<)S
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J[ 3/W!57E;?+!Ec/Wmarticledatacompression.bibCormack:1985:DCDGordon V. CormackData compression on a database systemjCACM281213361342dec121985CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Thu May 30 09:41:10 MDT 1996ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib; ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib; http://www.acm.org/pubs/toc/; http://www.math.utah.edu/pub/tex/bib/cacm1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1996.05.30 09:41:10 MDThttp://www.acm.org/pubs/toc/Abstracts/00010782/214963.htmlCommunications of the ACMdesign; IMS compression one (entire) record at a time.; management; performancebf E.4: Data, CODING AND INFORMATION THEORY, Data compaction and compression. bf H.2.0: Information Systems, DATABASE MANAGEMENT, General.acknhfbfirst partition into IMS based types, then Huffman. Gives factor two space, adds 17pct time.http://portal.acm.org/browse_dl.cfm?idx=J79Gordon V. CormackData compression on a database system
@Article{Cormack:1985:DCD,
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title = "Data compression on a database system",
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URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/214963.html",
acknowledgement = acknhfb,
annote = "first partition into IMS based types, then Huffman.
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keywords = "design; IMS compression one (entire) record at a
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NKZ 335y57E%;;'yy]#5yGarticledatacompression.bibCottingham:1985:CDSMarion S. CottinghamA Compressed Data Structure for Surface RepresentationjCGF43217228sep91985CGFODY01677055 (print), 14678659 (electronic) OR 01677055 (print), 14678659 (electronic)01677055 OR 01677055Mon Apr 14 10:23:20 MDT 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1997.04.14 10:23:20 MDTComputer Graphics Forumcompressed data structure; compressed data structure (CDS); computer graphics; computer graphics  Imaging Techniques; constructive solid; data compression; data processing; data structures; Data Structures; data structures; facets; facets, design; geometrical information; geometry; high curvature; image processing; modelling; photometry information; polyhedron; ray casting; sculptured surface; shaded image; smooth image; solid object; solids  Mathematical Models; surface patches; surface representation; surfaces  Mathematical Models; topological information; verticesI.3 Computing Methodologies, COMPUTER GRAPHICS, Miscellaneous I.3.5 Computing Methodologies, COMPUTER GRAPHICS, Computational Geometry and Object Modeling, Curve, surface, solid, and object representationsacknhfbUniv of Glasgow, Computing Science Dep, Glasgow, ScotlUniv of Glasgow, Computing Science Dep, Glasgow, ScotlDept. of Comput. Sci., Glasgow Univ., UKhttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)14678659/P PracticalMarion S. CottinghamA Compressed Data Structure for Surface Representation
@Article{Cottingham:1985:CDS,
author = "Marion S. Cottingham",
title = "A Compressed Data Structure for Surface
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journal = jCGF,
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number = "3",
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acknowledgement = acknhfb,
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processing; modelling; photometry information;
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representation; surfaces  Mathematical Models;
topological information; vertices",
subject = "I.3 Computing Methodologies, COMPUTER GRAPHICS,
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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acknowledgement = ackds # " and " # acknhfb,
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]MX 3+7q%C7;e97uphdthesisdatacompression.bibFoulds:1985:DRTRichard Arthur FouldsA Data Reduction Technique for Minimum Bandwidth Transmission of Intelligible American Sign Language for the Deaf (Compression, Telecommunications, Communication, Rehabilitation)Ph.D. thesisTufts UniversityMedford, MA, USA2151985Fri 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/303423885Engineering; AudiologyacknhfbRichard Arthur FouldsA Data Reduction Technique for Minimum Bandwidth Transmission of Intelligible {American Sign Language} for the Deaf (Compression, Telecommunications, Communication, Rehabilitation)
@PhdThesis{Foulds:1985:DRT,
author = "Richard Arthur Foulds",
title = "A Data Reduction Technique for Minimum Bandwidth
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}LZ3)m =)57Eu;/wm karticledatacompression.bibDemko:1985:CFOStephen Demko and Laurie Hodges and Bruce NaylorConstruction of Fractal Objects with Iterated Function SystemsjCOMPUTERSANDGRAPHICS193271278jul71985CGRADI, CPGPBZ00978930 (print), 15584569 (electronic) OR 00978930 (print), 15584569 (electronic)00978930 OR 00978930Sat Jan 26 12:46:16 MST 2013Graphics/imager/imager.85.bib; http://portal.acm.org/; 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 MSTComputer GraphicsI35 fractals, I35 iterative methods, I35 geometric modelingackdshttp://www.sciencedirect.com/science/journal/00978493Stephen Demko and Laurie Hodges and Bruce NaylorConstruction of Fractal Objects with Iterated Function Systems
@Article{Demko:1985:CFO,
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title = "Construction of Fractal Objects with Iterated Function
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bibsource = "Graphics/imager/imager.85.bib; http://portal.acm.org/;
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