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classification = "0541: Biomedical research; 0544: Electrical
engineering; 0574: Radiology",
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d idŒX 3)a!57E};7iŽarticledatacompression.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]
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}‹w X 3+7C5E_;}E7}Obookdatacompression.bibWright:1939:GSWErnest Vincent WrightGadsby; a story of over 50,000 words without using the letter ``E''Wetzel Publishing Co., Inc.Los Angeles, CA, USA2671939Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/master.bib2013.01.26 12:46:16 MSTReprinted by University Microfilms, Ann Arbor, MI, 1991.http://gadsby.hypermart.net/ackdsErnest Vincent WrightReprinted by University Microfilms, Ann Arbor, MI, 1991.{Gadsby}; a story of over 50,000 words without using the letter ``{E}''
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O‹.X 3/# '_7E};K3#1articledatacompression.bibLevinson:1947:WREN. LevinsonThe Weiner RMS Error Criterion in Filter Design and PredictionjJMATHPHYS252612781947JMAPAQ00222488 (print), 10897658 (electronic), 15272427 OR 00222488 (print), 10897658 (electronic), 1527242700222488 OR 00222488Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTJournal of Mathematical Physicsackdshttp://jmp.aip.org/N. LevinsonThe {Weiner} {RMS} Error Criterion in Filter Design and Prediction
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known printed instance of the word `bit' with the
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##ŸZZ 3//Y17/!CˆG;„I‚O/„SY£#articledatacompression.bibShannon:1948:MTCaClaude E. ShannonA Mathematical Theory of CommunicationjBELLSYSTTECHJ273379423jul71948BSTJAN00058580 OR 0005858060.0X0026286 (10,133e)J. L. DoobTue Nov 9 11:15:54 MST 2010http://bstj.belllabs.com/oldfiles/year.1948/BSTJ.1948.2703.html; http://www.alcatellucent.com/bstj/vol271948/bstjvol27issue03.html; http://www.math.utah.edu/pub/bibnet/authors/s/shannonclaudeelwood.bib; http://www.math.utah.edu/pub/bibnet/authors/t/tukeyjohnw.bib; http://www.math.utah.edu/pub/tex/bib/annhistcomput.bib; http://www.math.utah.edu/pub/tex/bib/bstj1940.bib; http://www.math.utah.edu/pub/tex/bib/cryptography.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/mathcw.bib2010.11.09 11:15:54 MSTReprinted in cite Slepian:1974:KPD. From the first page: ``If the base $2$ is used the resulting units may be called binary digits, or more briefly, em bits, a word suggested by J. W. Tukey.''. This is the first known printed instance of the word `bit' with the meaning of binary digit.http://bstj.belllabs.com/BSTJ/images/Vol27/bstj273379.pdf; http://www.alcatellucent.com/bstj/vol271948/articles/bstj273379.pdfThe Bell System Technical JournalackdsClaude Elwood Shannon (April 30, 1916February 24, 2001)http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)15387305/issues/Claude E. ShannonReprinted in \cite{Slepian:1974:KPD}. From the first page: ``If the base $2$ is used the resulting units may be called binary digits, or more briefly, {\em bits}, a word suggested by J. W. Tukey.''. This is the first known printed instance of the word `bit' with the meaning of binary digit.A Mathematical Theory of Communication
@Article{Shannon:1948:MTCa,
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title = "A Mathematical Theory of Communication",
journal = jBELLSYSTTECHJ,
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X 3//q17/!C‡G;Q‚O/Uqœq"articledatacompression.bibShannon:1948:MTCbClaude E. ShannonA Mathematical Theory of Communication (continued)jBELLSYSTTECHJ274623656oct101948BSTJAN00058580 OR 0005858060.0X0026286 (10,133e)J. L. DoobTue Nov 9 11:15:54 MST 2010http://bstj.belllabs.com/oldfiles/year.1948/BSTJ.1948.2704.html; http://www.alcatellucent.com/bstj/vol271948/bstjvol27issue04.html; http://www.math.utah.edu/pub/bibnet/authors/s/shannonclaudeelwood.bib; http://www.math.utah.edu/pub/tex/bib/annhistcomput.bib; http://www.math.utah.edu/pub/tex/bib/bstj1940.bib; http://www.math.utah.edu/pub/tex/bib/cryptography.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/mathcw.bib2010.11.09 11:15:54 MSTReprinted in cite Slepian:1974:KPDhttp://bstj.belllabs.com/BSTJ/images/Vol27/bstj274623.pdf; http://www.alcatellucent.com/bstj/vol271948/articles/bstj274623.pdfThe Bell System Technical JournalackdsClaude Elwood Shannon (April 30, 1916February 24, 2001)http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)15387305/issues/Claude E. ShannonReprinted in \cite{Slepian:1974:KPD}A Mathematical Theory of Communication (continued)
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é‰dW '3)#+_1E};#Œmastersthesisdatacompression.bibKraft:1949:DQGL. G. KraftA Device for Quantizing, Grouping, and Coding Amplitude Modulated PulsesMaster's ThesisDepartment of Electrical Engineering, MITCambridge, MA, USA1949Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsL. G. KraftA Device for Quantizing, Grouping, and Coding Amplitude Modulated Pulses
@MastersThesis{Kraft:1949:DQG,
author = "L. G. Kraft",
title = "A Device for Quantizing, Grouping, and Coding
Amplitude Modulated Pulses",
type = "{Master}'s Thesis",
school = "Department of Electrical Engineering, MIT",
address = "Cambridge, MA, USA",
pages = "??",
year = "1949",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
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}ˆU !3%!K]1E};!KŠtechreportdatacompression.bibFano:1949:TIR. M. FanoThe Transmission of InformationTechnical Report65Research Laboratory for Electronics, MITCambridge, MA, USA1949Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsR. M. FanoThe Transmission of Information
@TechReport{Fano:1949:TI,
author = "R. M. Fano",
title = "The Transmission of Information",
type = "Technical Report",
number = "65",
institution = "Research Laboratory for Electronics, MIT",
address = "Cambridge, MA, USA",
pages = "??",
year = "1949",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Fano, R. M. (1949) ``The Transmission of
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}.3001.html;
http://www.alcatellucent.com/bstj/vol301951/bstjvol30issue01.html;
http://www.math.utah.edu/pub/bibnet/authors/s/shannonclaudeelwood.bib;
http://www.math.utah.edu/pub/tex/bib/bstj1950.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Reprinted in \cite{Slepian:1974:KPD}.",
URL = "http://bstj.belllabs.com/BSTJ/images/Vol30/bstj30150.pdf;
http://www.alcatellucent.com/bstj/vol301951/articles/bstj30150.pdf",
abstract = "A new method of estimating the entropy and redundancy
of a language is described. This method exploits the
knowledge of the language statistics possessed by those
who speak the language, and depends on experimental
results in prediction of the next letter when the
preceding text is known. Results of experiments in
prediction are given, and some properties of an ideal
predictor are developed.",
acknowledgement = ackds # " and " # acknhfb,
attnote = "Included in Part A.",
authordates = "Claude Elwood Shannon (April 30, 1916February 24,
2001)",
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uuŸZ 3/_17E…;S‚†!O†!/Wc¡Aarticledatacompression.bibShannon:1951:PEPClaude E. ShannonPrediction and Entropy of Printed EnglishjBELLSYSTTECHJ3015064jan11951BSTJAN00058580 OR 00058580Sat Jan 26 12:46:16 MST 2013http://bstj.belllabs.com/oldfiles/year.1951/BSTJ.1951.3001.html; http://www.alcatellucent.com/bstj/vol301951/bstjvol30issue01.html; http://www.math.utah.edu/pub/bibnet/authors/s/shannonclaudeelwood.bib; http://www.math.utah.edu/pub/tex/bib/bstj1950.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTReprinted in cite Slepian:1974:KPD.http://bstj.belllabs.com/BSTJ/images/Vol30/bstj30150.pdf; http://www.alcatellucent.com/bstj/vol301951/articles/bstj30150.pdfA new method of estimating the entropy and redundancy of a language is described. This method exploits the knowledge of the language statistics possessed by those who speak the language, and depends on experimental results in prediction of the next letter when the preceding text is known. Results of experiments in prediction are given, and some properties of an ideal predictor are developed.The Bell System Technical JournalackdsClaude Elwood Shannon (April 30, 1916February 24, 2001)http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)15387305/issues/A new method of estimating the entropy and redundancy of a language is described. This method exploits the knowledge of the language statistics possessed by those who speak the language, and depends on experimental results in prediction of the next letter when the preceding text is known. Results of experiments in prediction are given, and some properties of an ideal predictor are developed.Claude E. ShannonReprinted in \cite{Slepian:1974:KPD}.Prediction and Entropy of Printed {English}
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abstract = "A new method of estimating the entropy and redundancy
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}b/bibliography/Database/Wiederhold.bib;
http://www.acm.org/pubs/contents/journals/cacm/;
http://www.math.utah.edu/pub/tex/bib/cacm1960.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Also published in/as: File Organization, Siwerts and
Zeitlinge (Amsterdam), 1969.",
abstract = "The ``information explosion'' noted in recent years
makes it essential that storage requirements for all
information be kept to a minimum. A fully automatic and
rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
automatically decode the compressed information on an
itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
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.",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
})ttp://www.math.utah.edu/pub/tex/bib/datacompression.bib2005.11.25 18:20:16 MSTAlso published in/as: File Organization, Siwerts and Zeitlinge (Amsterdam), 1969.The ``information explosion'' noted in recent years makes it essential that storage requirements for all information be kept to a minimum. A fully automatic and rapid threepart compressor which can be used with ``any'' body of information to greatly reduce slow external storage requirements and to increase the rate of information transmission through a computer is described in this paper. The system will also automatically decode the compressed information on an itembyitem basis when it is required. The three component compressors, which can be used separately to accomplish their specific tasks, are discussed: NUPAK 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.Communications of the ACMacknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79The ``information explosion'' noted in recent years makes it essential that storage requirements for all information be kept to a minimum. A fully automatic and rapid threepart compressor which can be used with ``any'' body of information to greatly reduce slow external storage requirements and to increase the rate of information transmission through a computer is described in this paper. The system will also automatically decode the compressed information on an itembyitem basis when it is required. The three component compressors, which can be used separately to accomplish their specific tasks, are discussed: NUPAK 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.B. A. Marron and P. A. D. de MaineAlso published in/as: File Organization, Siwerts and Zeitlinge (Amsterdam), 1969.Automatic Data Compression
@Article{Marron:1967:ADC,
author = "B. A. Marron and P. A. D. de Maine",
title = "Automatic Data Compression",
journal = jCACM,
volume = "10",
number = "11",
pages = "711715",
month = nov,
year = "1967",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Fri Nov 25 18:20:16 MST 2005",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
http://www.acm.org/pubs/contents/journals/cacm/;
http://www.math.utah.edu/pub/tex/bib/cacm1960.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Also published in/as: File Organization, Siwerts and
Zeitlinge (Amsterdam), 1969.",
abstract = "The ``information explosion'' noted in recent years
makes it essential that storage requirements for all
information be kept to a minimum. A fully automatic and
rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
automatically decode the compressed information on an
itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
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.",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
}
^Š),X 315%97C7;e95‹ephdthesisdatacompression.bibBruckheim:1969:OSOArthur Jay BruckheimOptimum and SubOptimum Compression of Second Order Markov DataPh.D. thesisUniversity of MarylandCollege Park, MD, USA1551969Fri 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/302460376Electrical engineeringacknhfbArthur Jay BruckheimOptimum and SubOptimum Compression of Second Order {Markov} Data
@PhdThesis{Bruckheim:1969:OSO,
author = "Arthur Jay Bruckheim",
title = "Optimum and SubOptimum Compression of Second Order
{Markov} Data",
type = "{Ph.D.} thesis",
school = "University of Maryland",
address = "College Park, MD, USA",
pages = "155",
year = "1969",
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/302460376",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "7011656",
subject = "Electrical engineering",
}ˆ.+U 3/)]1KE};)]Š!phdthesisdatacompression.bibTunstall:1967:SNCB. P. TunstallSynthesis of Noiseless Compression CodesPh.D. DissertationGeorgia Institute of TechnologyAtlanta, GA, USA1967Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsB. P. TunstallSynthesis of Noiseless Compression Codes
@PhdThesis{Tunstall:1967:SNC,
author = "B. P. Tunstall",
title = "Synthesis of Noiseless Compression Codes",
type = "{Ph.D.} Dissertation",
school = "Georgia Institute of Technology",
address = "Atlanta, GA, USA",
pages = "??",
year = "1967",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Tunstall, B. P., (1967) ``Synthesis of Noiseless
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Institute of Technology, Atlanta, GA.",
}‰*V 39A%51C7;e99EŠophdthesisdatacompression.bibStanley:1967:CMDThomas Patrick StanleyCompression of Markov DataPh.D. thesisPrinceton UniversityPrinceton, NJ, USA1061967Fri 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/302264732Electrical engineeringacknhfbThomas Patrick StanleyCompression of {Markov} Data
@PhdThesis{Stanley:1967:CMD,
author = "Thomas Patrick Stanley",
title = "Compression of {Markov} Data",
type = "{Ph.D.} thesis",
school = "Princeton University",
address = "Princeton, NJ, USA",
pages = "106",
year = "1967",
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/302264732",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "6802519",
subject = "Electrical engineering",
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½‰s/W '3+7==/5E1;‚7=Š€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
@MastersThesis{Husson:1970:DCS,
author = "Georges Eugene Husson",
title = "Data compression systems",
type = "{Dip.Eng. (Elec.), M.Eng.}",
school = "McGill University",
address = "Montr{\'e}al, QC, Canada",
pages = "iii + 125",
year = "1970",
LCCN = "????",
bibdate = "Mon Jan 28 15:10:29 MST 2013",
bibsource = "amicus.nlcbnc.ca:210/NL;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://digitool.library.mcgill.ca/thesisfile49103.pdf;
http://www.collectionscanada.ca/obj/thesescanada/vol1/QMM/TCQMM49103.pdf",
acknowledgement = acknhfb,
}‰+.V 3+3O%75C7;e93OŠwphdthesisdatacompression.bibBowyer:1970:DCTDuane Ernest BowyerData Compression and TransmissionPh.D. thesisUniversity of FloridaGainesville, FL, USA1461970Fri 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/302406194Electrical engineeringacknhfbDuane Ernest BowyerData Compression and Transmission
@PhdThesis{Bowyer:1970:DCT,
author = "Duane Ernest Bowyer",
title = "Data Compression and Transmission",
type = "{Ph.D.} thesis",
school = "University of Florida",
address = "Gainesville, FL, USA",
pages = "146",
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/302406194",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "7116765",
subject = "Electrical engineering",
}Œ@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",
}
è
¦è‹;1X 35e%/;C7;e95mŒ[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",
}ŠW0X 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",
subject = "Electrical engineering",
}
¥å ËùÔå‹v—m
@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",
journal = jCGF,
volume = "19",
number = "1",
pages = "????",
month = mar,
year = "2000",
CODEN = "CGFODY",
ISSN = "01677055 (print), 14678659 (electronic)",
ISSNL = †#ŒG
@Article{Netravali:1980:PCP,
author = "A. Netravali and J. O. Limb",
title = "Picture Coding: a Preview",
journal = jPROCIEEE,
volume = "68",
pages = "366406",
year = "1980",
CODEN = "IEEPAD",
ISSN = "00189219 (print), 15582256 (electronic)",
ISSNL = "00189219",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
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:
A Preview,'' {\it Proceedings of the IEEE},
{\bf68}:366406.",
}‡P!
@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 Compressionˆ'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 = Õ1:16 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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99ŸD2^3+C57E‚e;†[?‚g/c#†[C Karticledatacompression.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",
journal = jCACM,
volume = "14",
number = "12",
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
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information retrieval; input/output; map; map storage;
run coding; storage",
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treatment = "P Practical",
XMLdata = "ftp://ftp.informatik.unitrier.de/pub/users/Ley/bib/records.tar.gz#journals/cacm/AmidonA71",
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.Œ4V3+[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#ŒYDbookdatacompression.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",
}
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„Î„ŒGDV 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",
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author = "Anil Narayan Joglekar",
title = "Data Compression In Recursive Estimation with
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``Discrete Cosine Transform,'' {\it IEEE Transactions
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``Discrete Cosine Transform,'' {\it IEEE Transactions
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keywords = "binary; binary number compression; CPUs; data base;
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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
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ÈÈž5W[ 3+%g_57C„S;‡5ƒqOA%g¢Uarticledatacompression.bibTurner:1975:GCSL. F. TurnerThe `onground' compression of satellite datajCOMPJ183243247aug81975CMPJA6http://dx.doi.org/10.1093/comjnl/18.3.24300104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:47:56 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/18/3.toc; http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/2012.12.04 14:47:56 MSThttp://comjnl.oxfordjournals.org/content/18/3/243.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/243.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/244.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/245.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/246.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/247.tifThe Computer Journalaerospace applications of computers; data compression; ESRO 1; Hadamard; information theory; on ground compression; Run length method; satellite data; satellites; Shannon Fano method; transformationacknhfbB6140 (Signal processing and detection); C1260 (Information theory); C7490 (Computing in other engineering fields)Electrical Engng. Dept., Imperial Coll. of Sci. and Technol., London, UKhttp://comjnl.oxfordjournals.org/A Application; P PracticalL. F. TurnerThe `onground' compression of satellite data
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¸ï‘FYY3Os57Ek;I?wGOs•5articledatacompression.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
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@Article{Lempel:1976:CFS,
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@Article{Larmore:1995:CHT,
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title = "Constructing {Huffman} Trees in Parallel",
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month = dec,
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@Article{Langdon:1983:ARL,
author = "Glenn G. Langdon",
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journal = jIBMTDB,
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number = "7B",
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}²‡Ž;
@Article{Langdon:1983:NZL,
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title = "A Note on the {ZivLempel} Model for Compressing
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journal = jIEEETRANSINFTHEORY,
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month = mar,
year = "1983",
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@Article{Larsson:2000:LDB,
author = "Larsson and Moffat",
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journal = jPROCIEEE,
volume = "88",
number = "11",
pages = "17221732",
year = "2000",
CODEN = "IEEPAD",
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@Article{Latendresse:2005:GFI,
author = "Mario Latendresse and Marc Feeley",
title = "Generation of fast interpreters for {Huffman}
compressed bytecode",
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number = "3",
pages = "295317",
month = sep,
year = "2005",
CODEN = "SCPGD4",
ISSN = "01676423 (print), 18727964 (electronic)",
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bibdate = "Fri Apr 1 18:38:50 MDT 2011",
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õ ªºõ‹B\W3QC5CQ3Eq;sQŒo¦bookdatacompression.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",
address = "Stroudsburg, PA, USA",
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}¢4[Z3)Cc_57C„S;‹c5ƒ[O#Cc¦k articledatacompression.bibDance:1976:ALDD. L. Dance and U. W. PoochAn adaptive on line data compression systemjCOMPJ193216224aug81976CMPJA6http://dx.doi.org/10.1093/comjnl/19.3.21600104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:47:58 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/19/3.toc; http://wwwoŒSZY 33=5Ck;%e9=%Ž¤phdthesisdatacompression.bibBudihardjo:1976:DCAPeter Setiadi BudihardjoData Compression Algorithms for Encoding of Digital Sources[unknown]Computer Communications Network Group, University of WaterlooWaterloo, ON, Canadaxii + 1521976Fri Feb 1 09:20:32 MST 2013amicus.nlcbnc.ca:210/NL; http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSTReport E69.http://search.proquest.com/docview/302833917Electrical engineeringacknhfbPeter Setiadi BudihardjoReport E69.Data Compression Algorithms for Encoding of Digital Sources
@PhdThesis{Budihardjo:1976:DCA,
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title = "Data Compression Algorithms for Encoding of Digital
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}[.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/2012.12.04 14:47:58 MSThttp://comjnl.oxfordjournals.org/content/19/3/216.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/216.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/217.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/218.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/219.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/220.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/221.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/222.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/223.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_19/Issue_03/tiff/224.tifThe Computer Journaladaptive; buffering; data compression; data processing; data set; dynamic priority assignment; FORTRAN; input/output control; interface; item relocation; online information; programs; system; utility programsacknhfbC6130 (Data handling techniques); C6150E (General utility programs)Univ. of Arkansas, Little Rock, AR, USAhttp://comjnl.oxfordjournals.org/P PracticalD. L. Dance and U. W. PoochAn adaptive on line data compression system
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@Article{Soulodre:1998:SES,
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@Article{Song:2015:VRF,
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@Article{Rubin:1976:ETF,
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@Article{Rudner:1971:CMR,
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@InProceedings{Wu:1998:LII,
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@InProceedings{Wu:1997:CHF,
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ÄƒÄ‡<{V'3+[}%E;[}‡9
inproceedingsdatacompression.bibStorer:1978:MMDJames A. Storer and Thomas G. SzymanskiThe macro model for data compression (Extended Abstract)ACM:1978:CRT30391978Wed Feb 20 18:33:31 MST 2002http://portal.acm.org/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2002.02.20 18:33:31 MSTacknhfbJames A. Storer and Thomas G. SzymanskiThe macro model for data compression (Extended Abstract)
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}“rX 3'i57E‚;Iƒ9ywG'i˜Karticledatacompression.bibTeuhola:1978:CMCJukka TeuholaA Compression Method for Clustered BitVectorsjINFOPROCLETT76308311oct101978IFPLAT00200190 (print), 18726119 (electronic) OR 00200190 (print), 18726119 (electronic)00200190 OR 00200190Sat Jan 26 12:46:16 MST 2013Compendex database; http://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 Lettersclustered bit vectors; codes, symbolic; compression method; data compression; encoding; fixed to variable encoding; information theory  Data Compression; variable to fixed encoding; variable to variable encodingackdsDept. of Computer Sci., Univ. of Turku, Turku, Finlandhttp://www.sciencedirect.com/science/journal/00200190Inf Process LettT Theoretical or MathematicalJukka TeuholaA Compression Method for Clustered BitVectors
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@PhdThesis{Pigeon:2001:CCD,
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type = "JPL Publication",
number = "7922",
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}‘X 3)#k'c57EƒC;u'#W#{k“Karticledatacompression.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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acknowledgement = acknhfb,
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abstract = "Several fast algorithms are presented for computing
functions defined on paths in trees under various
assumptions. The algorithms are based on tree
manipulation methods first used to efficiently
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$O((m + n) \alpha (m + n,n))$ 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 $m$
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vertices in the problem graph.",
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ˆˆžtZ 3+3q57E‚;Šq=e3Š3q'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,
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number = "4",
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functions defined on paths in trees under various
assumptions. The algorithms are based on tree
manipulation methods first used to efficiently
represent equivalence relations. The algorithms have
$O((m + n) \alpha (m + n,n))$ running times, where $m$
and $n$ are measures of the problem size and $\alpha$
is a functional inverse of Ackermann's function. By
using one or more of these algorithms in combination
with other techniques, it is possible to solve several
graph problems in $O(m \alpha (m,n))$ time, where $m$
is the number of edges and $n$ is the number of
vertices in the problem graph.",
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@Article{Peterson:1980:CPD,
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abstract = "This paper deals with the economic tradeoffs
associated with data compression in a packet switching
environment. In section II we present the data profile
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section III. Upper bounds for an economically effective
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š_[3'CW%]57E‚;‡eeW‡eCW™ articledatacompression.bibAleh:1981:DUBAvner Aleh and K. Dan LevinThe determination of upper bounds for economically effective compression in packet switching networksjSIGMETRICS1116472Spring1981http://doi.acm.org/10.1145/800047.80169401635999 (print), 15579484 (electronic) OR 01635999 (print), 15579484 (electronic)01635999 OR 01635999Thu Jun 26 10:58:02 MDT 2008http://portal.acm.org/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/sigmetrics.bib2008.06.26 10:58:02 MDTThis paper deals with the economic tradeoffs associated with data compression in a packet switching environment. In section II we present the data profile concept and the compression analysis of typical filetransfer data strings. This is followed by a compression cost saving model that is developed in section III. Upper bounds for an economically effective compression service are derived there, and the paper concludes with an example of these bounds based on state of the art technology.ACM SIGMETRICS Performance Evaluation Reviewacknhfbhttp://portal.acm.org/toc.cfm?id=J618This paper deals with the economic tradeoffs associated with data compression in a packet switching environment. In section II we present the data profile concept and the compression analysis of typical filetransfer data strings. This is followed by a compression cost saving model that is developed in section III. Upper bounds for an economically effective compression service are derived there, and the paper concludes with an example of these bounds based on state of the art technology.Avner Aleh and K. Dan LevinThe determination of upper bounds for economically effective compression in packet switching networks
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section III. Upper bounds for an economically effective
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ø/•E[3)k57E‚;IƒI}w#k™Earticledatacompression.bibDavis:1981:DCLR. H. Davis and C. Rinaldi and C. J. TrebilcockData Compression in Limited Capacity Microcomputer SystemsjINFOPROCLETT1345138141End1981IFPLAT00200190 (print), 18726119 (electronic) OR 00200190 (print), 18726119 (electronic)00200190 OR 00200190Wed Nov 11 12:16:26 MST 1998Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/infoproc1980.bib1998.11.11 12:16:26 MSTInformation Processing Letterscomputers, microprocessor; data base systems; data compression; data reduction; data reduction and analysis; database; information retrieval; information theory  Data Compression; microcomputer systems; storage capacityacknhfbThis issue was labelled End 1981, instead of Day Month 1981.Dept. of Computer Sci., HeriotWatt Univ., Edinburgh, UKhttp://www.sciencedirect.com/science/journal/00200190Inf Process LettP PracticalR. H. Davis and C. Rinaldi and C. J. TrebilcockData Compression in Limited Capacity Microcomputer Systems
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}ŠX 3)% %C/C7;e9% ‹Iphdthesisdatacompression.bibBarba:1981:MADJoseph BarbaA Modified Adaptive Delta Modulator for Video Data CompressionPh.D. thesisCity University of New YorkNew York, NY, USA2191981Fri 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/303098954Electrical engineeringacknhfbJoseph BarbaA Modified Adaptive Delta Modulator for Video Data Compression
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}yY 3/3{57=‚C;!?c3%Žcarticledatacompression.bibDunlavey:1981:LESMichael R. DunlaveyLetter to the Editor: On Spelling Correction and BeyondjCACM249608608sep91981CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Sun Feb 04 16:48:13 1996http://www.math.utah.edu/pub/tex/bib/cacm1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/spell.bib1996.02.04 16:48:13 ???See cite Peterson:1980:CPD,Miller:1981:LES,Nix:1981:ESE,Peterson:1981:LES.Communications of the ACMacknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79Michael R. DunlaveySee \cite{Peterson:1980:CPD,Miller:1981:LES,Nix:1981:ESE,Peterson:1981:LES}.Letter to the {Editor}: On Spelling Correction and Beyond
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acknowledgement = acknhfb,
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@PhdThesis{Schneider:1970:RDC,
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school = "Cornell University",
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}ŠtX 3')G%=3C7;e9)GŒ)phdthesisdatacompression.bibFong:1981:DOAChungBin FongThe Decision Oriented Approach to InformationPreserving Data Compression of Digitized ImagesPh.D. thesisUniversity of PittsburghPittsburgh, PA, USA1471981Fri 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/303140921Electrical engineeringacknhfbChungBin FongThe Decision Oriented Approach to InformationPreserving Data Compression of Digitized Images
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articledatacompression.bibLangdon:1981:CBWGlen G. Langdon and ~and J. RissanenCompression of Black White Images with Arithmetic CodingjIEEETRANSCOMMCOM296858867jun61981IECMBT00906778 (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 CommunicationsackdsGlen G. Langdon and ~and J. RissanenCompression of Black White Images with Arithmetic Coding
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}¥
¶¥
j”{¶‰s“g
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author = "Sebastian Deorowicz",
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@Article{Deligiannis:2014:PRW,
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author = "Aidong Deng and Jianeng Tang and Li Zhao and Cairong
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author = "Sebastian Deorowicz",
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acknowledgement = acknhfb,
classcodes = "C6120 (File organisation); C6130 (Data handling
techniques); C6160 (Database management systems
(DBMS))",
classification = "723",
corpsource = "School of Computer Sci., Ulster Polytech.,
Newtonabbey, UK",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "data handling; data processing; database designer's;
database management systems; DBMS; direct access
performance; hash trees; hashing; key; PRECI;
sequential access; space compression; storage; table
lookup; toolkit; utilization",
treatment = "P Practical",
} "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
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abstract = "A highly efficient image data compression unit is
considered which reduces data file size and data
transfer time in computerized typesetting systems. In a
study of the correlation between picture elements, it
is found that in the predictive coding method, which
reduces redundancy in screen dot image data, the most
efficient reference picture elements were information
on three neighboring screen dots. Based on this
finding, an adaptive predictive split coding method is
developed which predicts and encodes screen dot image
data and character image data according to the most
adaptive reference picture elements. This coding method
utilizes a variable length control code system to
prevent reduction of the compression factor when
different kinds of data are used. It proves to be a
highly efficient compression method for encoding
fullpage, page segment, and character font data.",
acknowledgement = acknhfb,
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",
}¦
ñ
ž¯Ð¿ñ‡];
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author = "Chengwen Liu and Clement Yu",
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‰†qc
@Article{Liou:1991:OPK,
author = "Ming Liou",
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Standard",
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month = apr,
year = "1991",
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journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
rawdata = "Liou, Ming (1991) ``Overview of the p$\times$64
kbits/s Video Coding Standard,'' {\it Communications of
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}»edictive coding method, which reduces redundancy in screen dot image data, the most efficient reference picture elements were information on three neighboring screen dots. Based on this finding, an adaptive predictive split coding method is developed which predicts and encodes screen dot image data and character image data according to the most adaptive reference picture elements. This coding method utilizes a variable length control code system to prevent reduction of the compression factor when different kinds of data are used. It proves to be a highly efficient compression method for encoding fullpage, page segment, and character font data.Fujitsu scientific and technical journaladaptive predictive split coding; codes, symbolic; control code; image processing; information theory  data compression; screen dot image data; typesetting  computer applicationsacknhfbA highly efficient image data compression unit is considered which reduces data file size and data transfer time in computerized typesetting systems. In a study of the correlation between picture elements, it is found that in the predictive coding method, which reduces redundancy in screen dot image data, the most efficient reference picture elements were information on three neighboring screen dots. Based on this finding, an adaptive predictive split coding method is developed which predicts and encodes screen dot image data and character image data according to the most adaptive reference picture elements. This coding method utilizes a variable length control code system to prevent reduction of the compression factor when different kinds of data are used. It proves to be a highly efficient compression method for encoding fullpage, page segment, and character font data.Atsushi Ishii and Kenji Kouno and Yasunori MaezawaHighly Efficient Data Compression Method for Newspaper Image Data
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author = "Atsushi Ishii and Kenji Kouno and Yasunori Maezawa",
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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
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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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author = "Beno{\^\i}t B. Mandelbrot",
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publisher = pubWHFREEMAN,
address = pubWHFREEMAN:adr,
pages = "v + 460",
year = "1982",
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LCCN = "QA447 .M25 1982; QA447 .M357 1982",
MRclass = "00A69 (5101 54F45 85A35 86A99)",
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rawdata = "Mandelbrot, B. (1982) {\it The Fractal Geometry of
Nature}, San Francisco, CA, W. H. Freeman.",
remark = "Revised edition of \cite{Mandelbrot:1977:FFC}.",
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rawdata = "Lloyd, S. P. (1982) ``Least Squares Quantization in
PCM,'' {\it IEEE Transactions on Information Theory},
{\bf IT28}:129137, March.",
}S. Dubuc",
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Referee]",
ZMnumber = "Zbl 0504.28001",
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rawdata = "Mandelbrot, B. (1982) {\it The Fractal Geometry of
Nature}, San Francisco, CA, W. H. Freeman.",
remark = "Revised edition of \cite{Mandelbrot:1977:FFC}.",
}¨
33
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@Article{Maglo:2015:MCS,
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@PhdThesis{Ginesta:1995:DHO,
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compression",
type = "{Ph.D.} thesis",
school = "Polytechnic University",
addres…g‹Q
@PhdThesis{Felt:1974:DCT,
author = "Douglas Charles Felt",
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type = "{Ph.D.} thesis",
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@PhdThesis{Fong:1981:DOA,
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title = "The Decision Oriented Approach to
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type = "{Ph.D.} thesis",
school = "University of Pittsburgh",
address = "Pittsburgh, PA, USA",
pages = "147",
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@PhdThesis{Gadallah:1991:DCT,
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title = "Data Compression Techniques for Isolated and Connected
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school = "Cranfield University",
address = "Cranfield, Bedfordshire MK43 0AL, UK",
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pages = "268",
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@MastersThesis{Nadim:1983:DCT,
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title = "Innovations and advances in computer, information,
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@Book{Knuth:1986:CT,
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publisher = pubAW,
address = pubAW:adr,
pages = "??",
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@Book{Knuth:1973:ACP,
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address = pubAW:adr,
edition = "Second",
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year = "1973\noopsort{a}",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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author = "W. B. Kleijn and K. K. Paliwal",
title = "Speech Coding and Synthesis",
publisher = pubELSEVIER,
address = pubELSEVIER:adr,
pages = "??",
year = "1995",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
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author = "Maurice G. Kendall",
title = "A Course in the Geometry of $n$Dimensions",
publisher = "Hafner",
address = "New York, NY, USA",
pages = "??",
year = "1961",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
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@Book{Kay:1995:GFF,
author = "David C. Kay and John R. Levine",
title = "Graphics File Formats",
publisher = pubWINDCREST,
address = pubWINDCREST:adr,
edition = "Second",
pages = "xx + 476",
year = "1995",
ISBN = "0070340250",
ISBN13 = "9780070340251",
LCCN = "T385.K376 1995",
bibdate = "Sat Oct 10 12:44:04 1998",
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price = "US\$29.95",
acknowledgement = acknhfb,
libnote = "Not yet in my library.",
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®‹$7X %3+15//5Ec;135 35incollectiondatacompression.bibVorobev:1983:FNNikolai N. VorobevIan Naismith SneddonFibonacci NumbersFibonacci NumbersNew Classics Library1983Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/fibquart.bib2013.01.26 12:46:16 MSTTranslation by Halina Moss. Reprint of cite Vorobev:1961:FN.ackdsNikolai N. Vorobev{Fibonacci} NumbersIan Naismith SneddonTranslation by Halina Moss. Reprint of \cite{Vorobev:1961:FN}.{Fibonacci} Numbers
@InCollection{Vorobev:1983:FN,
author = "Nikolai N. Vorobev",
editor = "Ian Naismith Sneddon",
booktitle = "{Fibonacci} Numbers",
title = "{Fibonacci} Numbers",
publisher = "New Classics Library",
address = "????",
pages = "??",
year = "1983",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
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acknowledgement = ackds,
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}N6X 3+%g57Ea;E‚}wG%g”articledatacompression.bibStorer:1983:TATJ. A. StorerToward an abstract theory of data compressionjTHEORCOMPSCI243221237aug81983TCSCDI03043975 (print), 18792294 (electronic) OR 03043975 (print), 18792294 (electronic)03043975 OR 03043975Sat Nov 22 13:36:07 MST 1997http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/tcs1980.bib1997.11.22 13:36:07 MSTTheoretical Computer Scienceabstract program size complexity; abstract theory; computational complexity; cost function; data compression; programming languageacknhfbDept. of Computer Sci., Brandeis Univ., Waltham, MA, USAhttp://www.sciencedirect.com/science/journal/03043975T Theoretical or MathematicalJ. A. StorerToward an abstract theory of data compression
@Article{Storer:1983:TAT,
author = "J. A. Storer",
title = "Toward an abstract theory of data compression",
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volume = "24",
number = "3",
pages = "221237",
month = aug,
year = "1983",
CODEN = "TCSCDI",
ISSN = "03043975 (print), 18792294 (electronic)",
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bibdate = "Sat Nov 22 13:36:07 MST 1997",
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acknowledgement = acknhfb,
classification = "B6140 (Signal processing and detection); C1260
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fjournal = "Theoretical Computer Science",
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treatment = "T Theoretical or Mathematical",
}
é Ý\m ±¡Â
@Book{MacCormick:2012:NAC,
author = "John MacCormick",
title = "Nine algorithms that changed the future: the ingenious
ideas that drive today's computers",
publisher = pubPRINCETON,
address = pubPRINCETON:adr,
pages = "x + 2 + 219",
year = "2012",
ISBN = "0691147140 (hardcover), 0691158193 (paperback)",
ISBN13 = "9780691147147 (hardcover), 9780691158198
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Œ…K‹
@Book{Lopes:2012:ICS,
author = "Dorsey Lopes",
title = "Important concepts in signal processing, image
processing and data compression",
publisher = "University Publications",
address = "Delhi, India",
pages = "????",
year = "2012",
ISBN = "8132336046",
ISBN13 = "9788132336044",
LCCN = "????",
bibdate = "Mon Jan 28 15:10:39 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
z3950.bibsys.no:2100/BIBSYS",
acknowledgement = acknhfb,
subject = "Image processing; Signal processing; Data compression
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}Àˆ/_
@Book{Li:1997:VDC,
editor = "Hua Harry Li and Shan Sun and Haluk Derin",
title = "Video data compression for multimedia computing:
statistically based and biologically inspired
techniques",
volume = "{SECS 378}",
publisher = pubKLUWER,
address = pubKLUWER:adr,
pages = "xvi + 421",
year = "1997",
ISBN = "0792397908",
ISBN13 = "9780792397908",
LCCN = "QA76.„‰
@Book{Lee:2008:VHV,
author = "J. B. Lee and H. Kalva",
title = "The {VC1} and {H.264} Video Compression Standards for
Broadband Video Services",
publisher = pubSV,
address = pubSV:adr,
pages = "??",
year = "2008",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Lee, J. B. and H. Kalva (2008) {\it The VC1 and H.264
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Services}, New York, Springer Verlag.",
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Ú†
Œ
@Book{Lange:2010:AP,
author = "Kenneth Lange",
title = "Applied probability",
publisher = "Springer Science+Business Media, LLC",
address = "New York, NY, USA",
edition = "Second",
pages = "xv + 436",
year = "2010",
DOI = "http://dx.doi.org/10.1007/9781441971654",
ISBN = "1441971653, 1441971645",
ISBN13 = "9781441971654, 9781441971647",
LCCN = "QA273 .L36 2010",
bibdate = "Mon Jan 28 15:18:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
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series = "Springer texts in statistics.",
acknowledgement = acknhfb,
subject = "Probabilities",
}Ñ†Œ+
@Book{Lafe:2000:CAT,
author = "Olu Lafe",
title = "Cellular automata transforms: theory and applications
in multimedia compression, encryption and modeling",
volume = "MMSA16",
publisher = pubKLUWER,
address = pubKLUWER:adr,
pages = "xii + 177",
year = "2000",
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ISBN13 = "9780792378570",
LCCN = "QA267.5.C45 L34 2000",
bibdate = "Thu Apr 4 08:00:09 MST 2002",
bibsource = "http://www.math.utah.edu/pub/tex/bib/cryptography2000.bib;
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series = "Multimedia systems and applications series",
acknowledgement = acknhfb,
keywords = "cellular automata",
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@Article{Cleary:1984:DCU,
author = "John G. Cleary and I. H. Witten",
title = "Data Compression Using Adaptive Coding and Partial
String Matching",
journal = jIEEETRANSCOMM,
volume = "COM32",
number = "4",
pages = "396402",
month = apr,
year = "1984",
CODEN = "IECMBT",
ISSN = "00906778 (print), 15580857 (electronic)",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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}Š,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)
@PhdThesis{Cathey:1984:DCN,
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}¹ "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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acknowledgement = acknhfb,
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èëè‰;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
@PhdThesis{Elnahas:1984:DCA,
author = "Sharaf Eldin Elnahas",
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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
@Misc{Eastman:1984:AMC,
author = "Willard L. Eastman and Abraham Lempel and Jacob Ziv
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title = "Apparatus and method for compressing data signals and
restoring the signal",
howpublished = "US Patent 4,558,302.",
day = "7",
month = aug,
year = "1984",
bibdate = "Thu Feb 14 10:33:02 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "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.",
URL = "http://www.google.com/patents/US4464650;
https://en.wikipedia.org/wiki/Graphics_Interchange_Format",
acknowledgement = acknhfb,
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@PhdThesis{Spaan:2000:ERC,
author = "Franciscus Henricus Petrus Spaan",
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address = "Delft, The Netherlands",
pages = "157",
year = "2000",
ISBN = "909013218X",
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@PhdThesis{Stauffer:1994:PHS,
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type = "{Ph.D.} thesis",
school = "University of California, Irvine",
address = "Irvine, CA, USA",
pages = "113",
year = "1994",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
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}…6Šo
@PhdThesis{Stanley:1967:CMD,
author = "Thomas Patrick Stanley",
title = "Compression of {Markov} Data",
type = "{Ph.D.} thesis",
school = "Princeton University",
address = "Princeton, NJ, USA",
pages = "106",
year = "1967",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
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@PhdThesis{Southard:1995:VQN,
author = "David Alan Southard",
title = "Vector quantization and nearest neighbor clustering
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school = "University of Massachusetts Lowell",
address = "Lowell, MA, USA",
pages = "169",
year = "1995",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
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@PhdThesis{Smith:1979:SPA,
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title = "Spectral Peak Amplitude Coding for Voice Data
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type = "{Ph.D.} thesis",
school = "Stanford University",
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",
number = "4",
pages = "687693",
month = jul,
year = "1984",
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acknowledgement = ackds,
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}EU'3)CE'C};CE…w 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=‚;Š]9Š!œarticledatacompression.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",
}
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Œ/techreportdatacompression.bibLangdon:1984:PVMGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data CompressionIBM research reportRJ4163 (46091)pubIBMpubIBM:adr18jan11984Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data Compression
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}‰@W 3%wE};{Šomiscdatacompression.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}
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acknowledgement = ackds,
rawdata = "ISO (1984) ``Information Processing SystemsData
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}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,
}Âhyphenating 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",
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month = mar,
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bibdate = "Fri Jul 08 14:48:58 2005",
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URL = "http://www.tug.org/docs/liang/;
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word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
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³]BY 3)3O1m/=c;3™#™%3O¬phdthesisdatacompression.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 élife.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
Languages,'' {\it Computer Graphics},
{\bf18}(3):110.",
xxauthor = "Alvy Ray Smith",
}Ã
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miscdatacompression.bibWelch:1984:HSDTerry A. WelchHigh speed data compression and decompression apparatus and method1107aug81984Thu Feb 14 10:28:31 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.14 10:28:31 ???US Patent Application US19830505638 filed 20 June 1983. See also the related patent cite Eastman:1984:AMC issued on the same day.http://www.google.com/patents/US455830acknhfbUS Patent 4,558,302.Terry A. WelchUS Patent Application US19830505638 filed 20 June 1983. See also the related patent \cite{Eastman:1984:AMC} issued on the same day.High speed data compression and decompression apparatus and method
@Misc{Welch:1984:HSD,
author = "Terry A. Welch",
title = "High speed data compression and decompression
apparatus and method",
howpublished = "US Patent 4,558,302.",
day = "7",
month = aug,
year = "1984",
bibdate = "Thu Feb 14 10:28:31 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "US Patent Application US19830505638 filed 20 June
1983. See also the related patent
\cite{Eastman:1984:AMC} issued on the same day.",
URL = "http://www.google.com/patents/US455830",
acknowledgement = acknhfb,
}”?CZ 3)1Y=)57E‚#;k/ƒ7w5kY—i
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
Languages,'' {\it Computer Graphics},
{\bf18}(3):110.",
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}.",
}Åïah.edu/pub/tex/bib/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",
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month = jun,
year = "1984",
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ISSNL = "00189162",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/computer1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "Computer",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2",
rawdata = "Welch, T. A. (1984) ``A Technique for HighPerformance
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}.",
}
‡
œ‡ŒGY 33+%CQ3E‚=;M+>bookdatacompression.bibCappellini:1985:DCEVito CappelliniData compression and error control techniques with applicationspubACADEMICpubACADEMIC:adrxiv + 3041985012159260X OR 012159260X9780121592608 OR 9780121592608TK5102.5 .D336 1985Mon Jan 28 15:19:07 MST 2013clas.caltech.edu:210/INNOPAC; cliodb.cc.columbia.edu:7090/Voyager; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; z3950.loc.gov:7090/Voyager2013.01.28 15:19:07 MSTData compression (Telecommunication); Coding theory; Errorcorrecting codes (Information theory)acknhfbVito CappelliniData compression and error control techniques with applications
@Book{Cappellini:1985:DCE,
editor = "Vito Cappellini",
title = "Data compression and error control techniques with
applications",
publisher = pubACADEMIC,
address = pubACADEMIC:adr,
pages = "xiv + 304",
year = "1985",
ISBN = "012159260X",
ISBN13 = "9780121592608",
LCCN = "TK5102.5 .D336 1985",
bibdate = "Mon Jan 28 15:19:07 MST 2013",
bibsource = "clas.caltech.edu:210/INNOPAC;
cliodb.cc.columbia.edu:7090/Voyager;
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z3950.loc.gov:7090/Voyager",
acknowledgement = acknhfb,
subject = "Data compression (Telecommunication); Coding theory;
Errorcorrecting codes (Information theory)",
}†oFU3+O+%E};O+ˆbookdatacompression.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",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Berstel, Jean and Dominique Perrin (1985) {\it Theory
of Codes}, Orlando, FL, Academic Press.",
}ÂWEY 3))o!57Ek;S)oÍarticledatacompression.bibWelch:1984:THPTerry A. WelchA Technique for HighPerformance Data CompressionjCOMPUTER176819jun61984CPTRB4http://doi.ieeecomputersociety.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.utî
°
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,
author = "A. J. Cole",
title = "A Note on {Peano} Polygons and Gray Codes",
journal = jINTJCOMPUTMATH,
volume = "18",
pages = "313",
year = "1985",
CODEN = "IJCMAT",
ISSN = "00207160",
ISSNL = "00207160",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
fjournal = "International Journal of Computer Mathematics",
rawdata = "Cole, A. J. (1985) ``A Note on Peano Polygons and Gray
Codes,'' {\it International Journal of Computer
Mathematics}, {\bf18}:313.",
}‹'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)
``Efficient Variants of Huffman Codes in High Level
Languages,'' {\it Proceedings of the 8th ACMSIGIR
Conference}, Montreal, pp. 122130.",
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URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/214963.html",
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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
time.; management; performance",
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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@Article{Jakobsson:1985:CCS,
author = "Matti Jakobsson",
title = "Compression of Character Strings by an Adaptive
Dictionary",
journal = jBIT,
volume = "25",
number = "4",
pages = "593603",
month = dec,
year = "1985",
CODEN = "BITTEL, NBITAB",
DOI = "http://dx.doi.org/10.1007/BF01936138",
ISSN = "00063835 (print), 15729125 (electronic)",
ISSNL = "00063835",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://springerlink.metapress.com/openurl.asp?genre=issue&issn=00063835&volume=25&issue=4;
http://www.math.utah.edu/pub/tex/bib/bit.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://www.springerlink.com/openurl.asp?genre=article&issn=00063835&volume=25&issue=4&spage=593",
acknowledgement = ackds # " and " # acknhfb,
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rawdata = "Jakobsson, Matti (1985) ``Compression of Character
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} "86g:94050",
MRreviewer = "T. Nemetz",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/jalg.bib;
MathSciNet database",
URL = "http://www.sciencedirect.com/science/article/pii/0196677485900367",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "Journal of Algorithms",
journalURL = "http://www.sciencedirect.com/science/journal/01966774",
keywords = "algorithms; theory",
rawdata1 = "Knuth, Donald E. (1985) ``Dynamic Huffman Coding,''
{\it Journal of Algorithms}, {\bf6}:163180.",
rawdata2 = "Knuth, D. E. (1985) ``Dynamic Huffman Coding,'' {\it
Journal of Algorithms} {\bf6}:163180.",
review = "ACM CR 86100919",
subject = "E Data, Coding and Information Theory",
}Ô