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journal = jBELLSYSTTECHJ,
volume = "30",
number = "1",
pages = "5064",
month = jan,
year = "1951",
CODEN = "BSTJAN",
ISSN = "00058580",
ISSNL = "",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://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.bib",
note = "Reprinted in \cite{Slepian:1974:KPD}.",
URL = "http://bstj.belllabs.com/BSTJ/images/Vol30/bstj30150.pdf;
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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.",
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note = "Also published in/as: File Organization, Siwerts and
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abstract = "The ``information explosion'' noted in recent years
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information be kept to a minimum. A fully automatic and
rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
automatically decode the compressed information on an
itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
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,
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>Y '3'1 {5E1;1 mastersthesisdatacompression.bibTsui:1972:DCPStephen S. T. TsuiData Compression with Particular Applications to Video SignalsM.Eng.Department of Electrical Engineering, McGill UniversityMontreal, QC, Canadaiii + 151dec121972Mon 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/thesisfiȋ3=V 33;I;a57E};[;Iaarticledatacompression.bibSchalkwijk:1972:ASCJ. Pieter M. SchalkwijkAn Algorithm for Source CodingjIEEETRANSINFTHEORY183395399may51972IETTAWhttp://dx.doi.org/10.1109/TIT.1972.105483200189448 (print), 15579654 (electronic) OR 00189448 (print), 15579654 (electronic)00189448 OR 00189448Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tession with Particular Applications to Video
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##J?Y 3)m_57C;_A5M+O#cm=articledatacompression.bibWells:1972:FCUM. WellsFile Compression Using Variable Length EncodingsjCOMPJ154308313nov111972CMPJA6http://dx.doi.org/10.1093/comjnl/15.4.30800104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:47:50 MST 2012Compendex database; Database/Wiederhold.bib; http://comjnl.oxfordjournals.org/content/15/4.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_15/Issue_04/2012.12.04 14:47:50 MSTSee correspondence cite Gibbons:1973:CFC.http://comjnl.oxfordjournals.org/content/15/4/308.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_15/Issue_04/150308.sgm.abs.html; http://www3.oup.co.uk/computer_journal/hdb/Volume_15/Issue_04 une Somme
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pages = "106",
year = "1973",
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}Gdu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302674792Electrical engineeringacknhfbRobert Tien Pei WangA Study of the Structure of Television Pictures as Applied to Practical Data Compression Techniques
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journal = jIEEETRANSCOMPUT,
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}ta compression by predictive coding. {II}.
Encoding algorithms",
journal = jIBMJRD,
volume = "18",
number = "2",
pages = "172179",
month = mar,
year = "1974",
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bibdate = "Tue Mar 25 14:26:59 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "Predictive coding techniques for efficient
transmission or storage of twolevel (black and white)
digital images are examined. Algorithms for prediction
are discussed as well as coding techniques for encoding
the prediction error pattern. First, the authors survey
some schemes for encoding if the error pattern is
assumed to be memoryless. Then a method is developed
for encoding certain runlength distributions. Finally,
some experimental results for sample documents are
presented.",
acknowledgement = acknhfb,
classcodes = "B6120B (Codes); B6140 (Signal processing and
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fjournal = "IBM Journal of Research and Development",
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keywords = "algorithms; applications of computers; codes,
symbolic; communication; communications applications of
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level digital images; video signals",
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}Ib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib1997.03.25 14:26:59 MSTPredictive coding techniques for efficient transmission or storage of twolevel (black and white) digital images are examined. Algorithms for prediction are discussed as well as coding techniques for encoding the prediction error pattern. First, the authors survey some schemes for encoding if the error pattern is assumed to be memoryless. Then a method is developed for encoding certain runlength distributions. Finally, some experimental results for sample documents are presented.IBM Journal of Research and Developmentalgorithms; applications of computers; codes, symbolic; communication; communications applications of computers; data compression; digital signals; encoding; image data compression; information theory  Filtering and Prediction Theory; predictive coding; two level digital images; video signalsacknhfbB6120B (Codes); B6140 (Signal processing and detection); C1260 (Information theory); C7410F (Communications computing)IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USAhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520IBM J Res DevP Practical; X ExperimentalPredictive coding techniques for efficient transmission or storage of twolevel (black and white) digital images are examined. Algorithms for prediction are discussed as well as coding techniques for encoding the prediction error pattern. First, the authors survey some schemes for encoding if the error pattern is assumed to be memoryless. Then a method is developed for encoding certain runlength distributions. Finally, some experimental results for sample documents are presented.L. R. Bahl and H. KobayashiImage data compression by predictive coding. {II}. Encoding algorithms
@Article{Bahl:1974:IDC,
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for encoding certain runlength distributions. Finally,
some experimental results for sample documents are
presented.",
acknowledgement = acknhfb,
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4$JX 3'5%CC7;e5Qphdthesisdatacompression.bibFelt:1974:DCTDouglas Charles FeltDataCompression Techniques Using Adaptive TranslationPermutation CodesPh.D. thesisWashington State UniversityPullman, WA, USA1131974Fri Feb 1 09:5I_3'C57E;W[]y'CWCarticledatacompression.bibBahl:1974:IDCL. R. Bahl and H. KobayashiImage data compression by predictive coding. II. Encoding algorithmsjIBMJRD182172179mar31974IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 00188646Tue Mar 25 14:26:59 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/biion Techniques Using Adaptive
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pages = "113",
year = "1974",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
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URL = "http://search.proquest.com/docview/302713192",
acknowledgement = acknhfb,
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}J20:36 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/302713192Computer scienceacknhfbDouglas Charles FeltDataCompression Techniques Using Adaptive TranslationPermutation Codes
@PhdThesis{Felt:1974:DCT,
author = "Douglas Charles Felt",
title = "DataCompression Techniques Using Adaptive
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school = "Washington State University",
address = "Pullman, WA, USA",
pages = "113",
year = "1974",
bibdate = "Fri Feb 1 09:20:36 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302713192",
acknowledgement = acknhfb,
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}ession and Storage of Data",
journal = jCACM,
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number = "8",
pages = "434436",
month = aug,
year = "1974",
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ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Mon Jan 22 06:47:50 MST 2001",
bibsource = "Compendex database;
ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
http://dblp.unitrier.de/db/journals/cacm/cacm17.html#Hahn74;
http://www.math.utah.edu/pub/tex/bib/cacm1970.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
abstract = "This paper describes techniques that can, in most
cases, decrease storage size by a factor of from two to
four. The techniques involve special handling of
leading and trailing blanks, and the encoding of other
symbols in groups of fixed size as unique fixed point
numbers. The efficiency of the system is considered and
pertinent statistics are given and compared with
statistics for other information coding techniques.",
acknowledgement = acknhfb,
annote = "Generation of a character dictionary and its use to
minimize space.",
classcodes = "C6120 (File organisation); C6130 (Data handling
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classification = "731",
corpsource = "Univ. Waterloo, Ont., Canada",
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
journalabr = "Commun ACM",
keywords = "coding techniques; compression; data handling; data
management; data storage; efficiency; encoding; file
maintenance; file organisation; fixed point numbers;
information coding techniques; information theory;
programs; text compression; utility",
oldlabel = "Hahn74",
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information block is represented by two subblocks
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title = ._03/tiff/243.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/244.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/245.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/246.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/tiff/247.tifThe Computer Journalaerospace applications of computers; data compression; ESRO 1; Hadamard; information theory; on ground compression; Run length method; satellite data; satellites; Shannon Fano method; transformationacknhfbB6140 (Signal processing and detection); C1260 (Information theory); C7490 (Computing in other engineering fields)Electrical Engng. Dept., Imperial Coll. of Sci. and Technol., London, UKhttp://comjnl.oxfordjournals.org/A Application; P PracticalL. F. TurnerThe `onground' compression of satellite data
@Article{Turner:1975:GCS,
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5V[ 3+%g_57CS;5qOA%gUarticledatacompression.bibTurner:1975:GCSL. F. TurnerThe `onground' compression of satellite datajCOMPJ183243247aug81975CMPJA6http://dx.doi.org/10.1093/comjnl/18.3.24300104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:47:56 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/18/3.toc; http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1970.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue_03/2012.12.04 14:47:56 MSThttp://comjnl.oxfordjournals.org/content/18/3/243.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_18/Issue Code Data Compression: a Rate Distortion
Theoretic Approach",
type = "{Ph.D.} thesis",
school = "University of Southern California",
address = "Los Angeles, CA, USA",
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eeEU'3)CE'C};CEw inproceedingsdatacompression.bibGamal:1984:IDCA. El Gamal and A. OrlitskyInteractive Data CompressionIEEE:1984:ASF1001081984Thu Apr 5 06:13:39 MDT 2001http://www.math.utah.edu/pub/tex/bib/datacompression.bib2001.04.05 06:13:39 MDTacknhfbA. El Gamal and A. OrlitskyInteractive Data Compression
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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,
}ength 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",
}mulations 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",
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bibsource = "Compendex database;
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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",
}
uu@W 3%wE};{omiscdatacompression.bibISO:1984:IPSISOInformation Processing Systems  O?\ 3!77=;]9!articledatacompression.bibGharavi:1984:CVLH. GharaviConditional variablelength coding for graylevel picturesjATTBELLLABTECHJ6322492601984ABLJER0748612X OR 0748612XFri Nov 12 09:17:39 2010Compendex database; http://www.math.utah.edu/pub/tex/bib/bstj1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2010.11.12 09:17:39 ???This paper presents a new variablelength coding algorithm for bitrate reduction of digital images. The coding scheme is based on the fact that by taking into account the local conditional statistics of the picture, the coding efficiency can be improved considerably. Results of computer siata Communication
HighLevel Data Link Control ProcedureFrame Structure:
{IS 3309}",
edition = "Third",
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} MixedOrder Model Structures for Data
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type = "IBM research report",
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]BY 3)3O1m/=c;3#%3Ophdthesisdatacompression.bibLiang:1984:WHPFranklin Mark LiangWord Hyphenation by ComputerPh.D. dissertationComputer Science Department, Stanford UniversityStanford, CA, USA92mar31984Fri Jul 08 14:48:58 2005http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/texbook3.bib2005.07.08 14:48:58 ???http://www.tug.org/docs/liang/; http://wwwlib.umi.com/dissertations/fulbAW !3+
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/techreportdatacompression.bibLangdon:1984:PVMGlen G. LangdonOn Parsing vs. MixedOrder Model Structures for Data CompressionIBM research reportation by Computer",
type = "{Ph.D.} dissertation",
school = "Computer Science Department, Stanford University",
address = "Stanford, CA, USA",
pages = "92",
month = mar,
year = "1984",
bibdate = "Fri Jul 08 14:48:58 2005",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/texbook3.bib",
URL = "http://www.tug.org/docs/liang/;
http://wwwlib.umi.com/dissertations/fullcit/8329742",
abstract = "This thesis describes research leading to an improved
word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
}lcit/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 hyphenating and inhibiting patterns. These are simply strings of letters that, when they match in a word, give us information about hyphenation at some point in the pattern. For example, `tion' and `cc' are good hyphenating patterns. An important feature of this method is that a suitable set of patterns can be extracted automatically from the dictionary. In order to represent the set of patterns in a compact form that is also reasonably efficient for searching, the author has developed a new data structure called a packed trie. This data structure allows the very fast search times characteristic of indexed tries, but in many cases it entirely eliminates the wasted space for null links usually present in such tries. We demonstrate the versatility and practical advantages of this data structure by using a variant of it as the critical component of the program that generates the patterns from the dictionary. The resulting hyphenation algorithm uses about 4500 patterns that compile into a packed trie occupying 25K bytes of storage. These patterns find 89\% of the hyphens in a pocket dictionary word list, with essentially no error. By comparison, the uncompressed dictionary occupies over 500K bytes.Franklin Mark LiangWord Hyphenation by Computer
@PhdThesis{Liang:1984:WHP,
author = "Franklin Mark Liang",
title = "Word Hyphenation by Computer",
type = "{Ph.D.} dissertation",
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bibdate = "Fri Jul 08 14:48:58 2005",
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URL = "http://www.tug.org/docs/liang/;
http://wwwlib.umi.com/dissertations/fullcit/8329742",
abstract = "This thesis describes research leading to an improved
word hyphenation algorithm for the T(,E)X82 typesetting
system. Hyphenation is viewed primarily as a data
compression problem, where we are given a dictionary of
words with allowable division points, and try to devise
methods that take advantage of the large amount of
redundancy present. The new hyphenation algorithm is
based on the idea of hyphenating and inhibiting
patterns. These are simply strings of letters that,
when they match in a word, give us information about
hyphenation at some point in the pattern. For example,
`tion' and `cc' are good hyphenating patterns. An
important feature of this method is that a suitable set
of patterns can be extracted automatically from the
dictionary. In order to represent the set of patterns
in a compact form that is also reasonably efficient for
searching, the author has developed a new data
structure called a packed trie. This data structure
allows the very fast search times characteristic of
indexed tries, but in many cases it entirely eliminates
the wasted space for null links usually present in such
tries. We demonstrate the versatility and practical
advantages of this data structure by using a variant of
it as the critical component of the program that
generates the patterns from the dictionary. The
resulting hyphenation algorithm uses about 4500
patterns that compile into a packed trie occupying 25K
bytes of storage. These patterns find 89\% of the
hyphens in a pocket dictionary word list, with
essentially no error. By comparison, the uncompressed
dictionary occupies over 500K bytes.",
acknowledgement = acknhfb,
}ls, and Formal Languages",
journal = jCOMPUTERSANDGRAPHICS,
volume = "18",
number = "3",
pages = "110",
month = jul,
year = "1984",
CODEN = "CGRADI, CPGPBZ",
ISSN = "00978930 (print), 15584569 (electronic)",
ISSNL = "00978930",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "Ai/alife.bib;
http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
note = "Applications of formal grammars for generating graphic
fractals  ``graftals''  in the modeling of
plants.",
acknowledgement = ackds,
annote = "Graftals. Methods for displaying natural objects based
on formal language models are presented. In particular,
deterministic models are shown to exhibit sufficient
variety to be used in production graphic systems.",
fjournal = "Computer Graphics",
journalURL = "http://www.sciencedirect.com/science/journal/00978493",
keyword = "fractals; modelsgraphics; plants; automatatheory",
rawdata = "Smith, Alvy Ray (1984) ``Plants, Fractals and Formal
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xxauthor = "Alvy Ray Smith",
}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,
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bibsource = "Ai/alife.bib;
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note = "Applications of formal grammars for generating graphic
fractals  ``graftals''  in the modeling of
plants.",
acknowledgement = ackds,
annote = "Graftals. Methods for displaying natural objects based
on formal language models are presented. In particular,
deterministic models are shown to exhibit sufficient
variety to be used in production graphic systems.",
fjournal = "Computer Graphics",
journalURL = "http://www.sciencedirect.com/science/journal/00978493",
keyword = "fractals; modelsgraphics; plants; automatatheory",
rawdata = "Smith, Alvy Ray (1984) ``Plants, Fractals and Formal
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22WDY 3))o!57Ek;S)oarticledatacompression.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)0018916?CZ 3)1Y=)57E#;k/7w5kYi
articledatacompression.bibSmith:1984:PFFAlvy Ray Smith IIIPlants, Fractals, and Formal LanguagesjCOMPUTERSANDGRAPHICS183110jul71984CGRADI, CPGPBZ00978930 (print), 15584569 (electronic) OR 00978930 (print), 15584569 (electronic)00978930 OR 00978930Sat Jan 26 12:46:16 MST 2013Ai/alife.bib; http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTApplications of formal grammars for generating Performance Data Compression",
journal = jCOMPUTER,
volume = "17",
number = "6",
pages = "819",
month = jun,
year = "1984",
CODEN = "CPTRB4",
DOI = "http://doi.ieeecomputersociety.org/10.1109/MC.1984.1659158",
ISSN = "00189162 (print), 15580814 (electronic)",
ISSNL = "00189162",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/computer1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "Computer",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2",
rawdata = "Welch, T. A. (1984) ``A Technique for HighPerformance
Data Compression,'' {\it IEEE Computer},
{\bf17}(6):819, June.",
remark = "This is the paper with the LempelZivWelch (LZW)
algorithm that led to the famous Unix
compress/decompress programs (and the {.Z} file
extension), written by Spence Thomas at the University
of Utah in June 1984. It builds on prior work by Ziv
and Lempel \cite{Ziv:1977:UAS,Ziv:19778CIS} in
19771978.\par
Welch (the inventor) and Sperry Corporation (the
employer) applied for (on 20 June 1983), and received
(on 10 December 1985), a United States Patent (No.
4,558,302) on the algorithm (see
\pathhttp://patft.uspto.gov/netacgi/nphParser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=/netahtml/srchnum.htm&r=1&f=G&l=50&s1=4,558,302.WKU.&OS=PN/4,558,302&RS=PN/4,558,302),
and Unisys (which acquired Sperry in 1986) has since
regulated its use through licensing fees, notably from
Compuserv for its use in the GIF image format
compression.\par
The LZW decoding algorithm is widely held to be
unencumbered by patents.\par
About 1990, Adobe Systems licensed the LZW compression
algorithm from Unisys for use in the LZWEncode operator
in the Level 2 of the PostScript page description
language, so PostScriptproducing programs are required
to have a Unisys license in order to produce data for
that operator. Aladdin Software, the creators of
ghostscript, chose not to license the patent, and
instead, developed a completely different compression
algorithm that just happens to be decompressable with
the LZW decompression algorithm.\par
According to Salomon \cite[p.~216]{Salomon:2000:DCC},
``The patent expires on 10 December 2002, or 20 June
2003, depending on whether the GATT agreements
grandfather in existing patents or no. The first date
is 17 years from issuance of the patent (old U.S. law),
and the second is 20 years from the date of first
filing (a GATT requirement).''\par
In 1992, the GNU Project countered with gzip/gunzip
(and the {.gz} file extension), based on patentfree
algorithms, with better compression performance, and by
2000, those utilities had largely replaced
compress/decompress for Internet archives. gunzip will
uncompress a {.Z} file, but gzip will not create such a
file because of the patent.\par
In 1996, Julian R. Seward developed the bzip2/bunzip2
programs (and the .bz2 file extension), believed to be
patent free, based on the BurrowsWheeler
blocksorting text compression algorithm, and Huffman
coding, obtaining even better compression than gzip,
but at the expense of considerably longer running
times. The Unisys patent (United States Patent No.
4,558,302 (1985), Japanese Patent Numbers 2,123,602 and
2,610,084, and patents in Canada, France, Germany,
Italy and the United Kingdom) and license is discussed
at \path=http://www.unisys.com/about__unisys/lzw/= (URL
accurate on 16Jan2003).\par
In 1995, a collaborative group developed the Portable
Network Graphics (PNG) image file format in reaction to
the patent restrictions on the GIF format; see
\cite{Crocker:1995:PPN,Roelofs:1999:PDG}.",
}2 OR 00189162Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/computer1980.bib; http://www.math.utah.edu/pub/tex/bib/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
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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}.",
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fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; image approximation; theory",
subject = "{\bf E.1}: Data, DATA STRUCTURES, Trees. {\bf E.4}:
Data, CODING AND INFORMATION THEORY, Data compaction
and compression. {\bf I.2.10}: Computing Methodologies,
ARTIFICIAL INTELLIGENCE, Vision and Scene
Understanding, Representations, data structures, and
transforms. {\bf I.4.2}: Computing Methodologies, IMAGE
PROCESSING, Compression (Coding), Approximate methods.
{\bf I.4.2}: Computing Methodologies, IMAGE PROCESSING,
Compression (Coding), Exact coding.",
}
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type = "Thesis ({M.Sc.})",
school = "University of Victoria",
address = "Victoria, BC, Canada",
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acknowledgement = acknhfb,
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subject = "Library science",
}sion with {Huffman} Coding",
journal = jBYTE,
volume = "11",
number = "5",
pages = "99108",
month = may,
year = "1986",
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ISSN = "03605280 (print), 10827838 (electronic)",
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abstract = "This article describes the generation or decompression
of font patterns from the compressed form data
including control bytes and data bytes.",
acknowledgement = acknhfb,
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control bytes; data bytes; Data Handling; data
processing; font patterns; information theory  Data
Compression",
}'mpression.bibAnonymous:1986:CDFAnonymousCompression / Decompression of Font PatternsjIBMTDB28835633564jan11986IBMTAA00188689 OR 00188689Mon Dec 16 08:30:04 MST 1996Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/typeset.bib1996.12.16 08:30:04 MSTThis article describes the generation or decompression of font patterns from the compressed form data including control bytes and data bytes.IBM Technical Disclosure Bulletincompressed form data; compression/decompression; control bytes; data bytes; Data Handling; data processing; font patterns; information theory  Data CompressionacknhfbIBM Tech Discl BullThis article describes the generation or decompression of font patterns from the compressed form data including control bytes and data bytes.AnonymousCompression\slash Decompression of Font Patterns
@Article{Anonymous:1986:CDF,
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number = "8",
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month = jan,
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CODEN = "IBMTAA",
ISSN = "00188689",
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bibsource = "Compendex database;
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http://www.math.utah.edu/pub/tex/bib/typeset.bib",
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of font patterns from the compressed form data
including control bytes and data bytes.",
acknowledgement = acknhfb,
classification = "722; 723",
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journalabr = "IBM Tech Discl Bull",
keywords = "compressed form data; compression/decompression;
control bytes; data bytes; Data Handling; data
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Compression",
})thematics of information processing",
volume = "34",
publisher = pubAMS,
address = pubAMS:adr,
pages = "xi + 233",
year = "1986",
ISBN = "0821800868",
ISBN13 = "9780821800867",
LCCN = "QA76.9.M35 M39 1986",
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 = "Proceedings of symposia in applied mathematics,
01607634; AMS short course lecture notes",
acknowledgement = acknhfb,
subject = "Computer science; Mathematics; Congresses",
tableofcontents = "Diameters of communication networks / F. R. K.
Chung \\
The theory of data dependencies / Ronald Fagin and
Moshe Y. Vardi \\
Transaction management / Hector GarciaMolina \\
Fundamental database issues / Barry E. Jacobs \\
Data compression algorithms / Victor S. Miller \\
Application of category theory of structural sets to
modelling of information bases of systems / Augustin A.
Tuzhilin",
}+ MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; z3950.loc.gov:7090/Voyager2013.01.28 15:19:07 MSTProceedings of symposia in applied mathematics, 01607634; AMS short course lecture notesComputer science; Mathematics; CongressesDiameters of communication networks / F. R. K. Chung The theory of data dependencies / Ronald Fagin and Moshe Y. Vardi Transaction management / Hector GarciaMolina Fundamental database issues / Barry E. Jacobs Data compression algorithms / Victor S. Miller Application of category theory of structural sets to modelling of information bases of systems / Augustin A. TuzhilinacknhfbMichael Anshel and William GewirtzMathematics of information processing
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bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
z3950.loc.gov:7090/Voyager",
series = "Proceedings of symposia in applied mathematics,
01607634; AMS short course lecture notes",
acknowledgement = acknhfb,
subject = "Computer science; Mathematics; Congresses",
tableofcontents = "Diameters of communication networks / F. R. K.
Chung \\
The theory of data dependencies / Ronald Fagin and
Moshe Y. Vardi \\
Transaction management / Hector GarciaMolina \\
Fundamental database issues / Barry E. Jacobs \\
Data compression algorithms / Victor S. Miller \\
Application of category theory of structural sets to
modelling of information bases of systems / Augustin A.
Tuzhilin",
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bV 3'+G/!57E};S+OCarticledatacompression.bibBell:1986:BOTTimothy C. BellBetter OPM/L Text CompressionjIEEETRANSCOMM341211761182dec121986IECMBT00906778 (print), 15580857 (electronic) OR 00906778 (print), 15580857 (ele.CaX3+QW#CQ3E5;?_{QWbookdatacompression.bibAnshel:1986:MIPMichael Anshel and William GewirtzMathematics of information processing34pubAMSpubAMS:adrxi + 23319860821800868 OR 08218008689780821800867 OR 9780821800867QA76.9.M35 M39 1986Mon Jan 28 15:19:07*t Compression",
journal = jIEEETRANSCOMM,
volume = "34",
number = "12",
pages = "11761182",
month = dec,
year = "1986",
CODEN = "IECMBT",
ISSN = "00906778 (print), 15580857 (electronic)",
ISSNL = "00906778",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
fjournal = "IEEE Transactions on Communications",
rawdata = "Bell, Timothy C. (1986) ``Better OPM/L Text
Compression,'' {\it IEEE Transactions on
Communications}, {\bf34}(12):11761182, December.",
}ctronic)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 CommunicationsackdsTimothy C. BellBetter {OPM}/{L} Text Compression
@Article{Bell:1986:BOT,
author = "Timothy C. Bell",
title = "Better {OPM}/{L} Text Compression",
journal = jIEEETRANSCOMM,
volume = "34",
number = "12",
pages = "11761182",
month = dec,
year = "1986",
CODEN = "IECMBT",
ISSN = "00906778 (print), 15580857 (electronic)",
ISSNL = "00906778",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
fjournal = "IEEE Transactions on Communications",
rawdata = "Bell, Timothy C. (1986) ``Better OPM/L Text
Compression,'' {\it IEEE Transactions on
Communications}, {\bf34}(12):11761182, December.",
}0
Tarjan and Victor K. Wei",
title = "A Locally Adaptive Data Compression Scheme",
journal = jCACM,
volume = "29",
number = "4",
pages = "320330",
month = apr,
year = "1986",
CODEN = "CACMA2",
DOI = "http://dx.doi.org/10.1145/5684.5688",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
MRclass = "68P99 (94A24)",
MRnumber = "87e:68020",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
http://www.acm.org/pubs/toc/;
http://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/5688.html",
abstract = "A data compression scheme that exploits locality of
reference, such as occurs when words are 1used
frequently over short intervals and then fall into long
periods of disuse, is described. The scheme is based on
a simple heuristic for selforganizing sequential
search and on variablelength encodings of integers. We
prove that it never performs much worse than Huffman
coding and can perform substantially better;
experiments on real files show that its performance is
usually quite close to that of Huffman coding. Our
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experiments on real files show that its performance is
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%&m
@Article{Howard:1992:NML,
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@Article{Hoobin:2011:RLZ,
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@Article{Holub:2013:GAD,
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Q#
@Article{Hoces:1995:MRF,
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@Article{Hoang:2007:CBC,
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title = lY
@Article{Hovestadt:2013:AOC,
author = "Matthias Hovestadt and Odej Kao and Andreas Kliem and
%p://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTThe Computer Journalackdshttp://comjnl.oxfordjournals.org/C. Anedda and L. Felician{$P$}Compressed Quadtrees for Image Storing
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acknowledgement = acknhfb,
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@Article{Anedda:1988:PCQ,
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title = "{P}Compressed Quadtrees for Image Storing",
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acknowledgement = acknhfb,
affiliation = "Univ degli Studi di Udine, Udine, Italy",
affiliationaddress = "Univ degli Studi di Udine, Udine, Italy",
classcodes = "C6120 (File organisation); C6130B (Graphics
techniques)",
classification = "722; 723; 741",
corpsource = "Dipartimento di Matematica e Inf., Udine Univ.,
Italy",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "automation; bitmap scanning; computer graphics; data
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database systems; encoded images; encoding; image
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}
iY3+?]57E;5k[[{wO#?aarticledatacompression.bibAnedda:1988:PCQC. Anedda and L. FelicianPCompressed Quadtrees for Image StoringjCOMPJ314353357aug81988CMPJA600104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Mar 25 13:51:56 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_31/Issue_04/1997.03.25 13:51:56 MSThttp://www3.oup.co.uk/computer_journal/hdb/Volume_31/Issue_04/tiff/353.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_31/Issue_04/tiff/354.tif; http://www3.oup.co.uk/computer_ and Richard C. Pasco and Theodore David Friedman",
title = "A multipurpose {VLSI} chip for adaptive data
compression of bilevel images",
journal = jIBMJRD,
volume = "32",
number = "6",
pages = "775795 (or 775794??)",
month = nov,
year = "1988",
CODEN = "IBMJAE",
ISSN = "00188646 (print), 21518556 (electronic)",
ISSNL = "00188646",
bibdate = "Tue Mar 25 14:26:59 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib",
abstract = "A VLSI chip for data compression has been implemented
based on a generalpurpose adaptive binary arithmetic
coding (ABAC) architecture. The architecture permits
the reuse of adapter and arithmetic coder logic in a
universal way, which together with application
specific model logic can create a variety of powerful
compression systems. The specific version of the
adapter\slash coder used is the `QCoder'. The hardware
implementation is in a single HCMOS chip, to maximize
speed and minimize cost. The primary purpose of the
chip is to provide superior data compression
performance for bilevel image data by using conditional
binary source models together with adaptive arithmetic
coding. The coding scheme implemented is called the
Adaptive Bilevel Image Compression (ABIC) algorithm. On
business documents, it outperforms such nonadaptive
algorithms as the CCITT Group 4 (T.6) Standard and
comes into its own when adapting to documents scanned
at different resolutions or which include significantly
different data such as digital halftones.",
acknowledgement = acknhfb,
affiliation = "IBM Res. Div., Almaden Res. Center",
affiliationaddress = "San Jose, CA, USA",
classcodes = "B6120B (Codes); B6110 (Information theory); B6140C
(Optical information and image processing); C5230
(Digital arithmetic methods); C1260 (Information
theory); C4220 (Automata theory)C1250 (Pattern
recognition)",
classification = "713; 714; 721; 723; 741; 921; B6110 (Information
theory); B6120B (Codes); B6140C (Optical information
and image processing); C1250 (Pattern recognition);
C1260 (Information theory); C4220 (Automata theory);
C5230 (Digital arithmetic methods)",
corpsource = "IBM Res. Div., Almaden Res. Center, San Jose, CA,
USA",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "Adapter; adapter; Adaptive arithmetic coding; adaptive
arithmetic coding; Adaptive binary arithmetic coding;
adaptive binary arithmetic coding; Adaptive Binary
Arithmetic Coding (ABAC); Adaptive data compression;
Adaptive Data Compression; adaptive data compression;
Arithmetic coder logic; arithmetic coder logic;
Arithmetic Coder Logic; Bilevel Images; bilevel images;
Bilevel images; binary source; Binary source models;
Control Systems, Adaptive; Design; digital arithmetic;
encoding; finite automata; hardware coding; Hardware
coding; HCMOS chip; Image Processing; information;
Information TheoryData Compression; Integrated
Circuits, VLSI; models; picture processing;
probability; QCoder; Qcoder; theory; VLSI; VLSI chip;
VLSI Chip",
thesaurus = "Digital arithmetic; Encoding; Finite automata;
Information theory; Picture processing; Probability;
VLSI",
treatment = "A Application; P Practical; T Theoretical or
Mathematical",
xxlibnote = "Issue missing from UofUtah Marriott Library",
}ib/ibmjrd.bib1997.03.25 14:26:59 MSTA VLSI chip for data compression has been implemented based on a generalpurpose adaptive binary arithmetic coding (ABAC) architecture. The architecture permits the reuse of adapter and arithmetic coder logic in a universal way, which together with application specific model logic can create a variety of powerful compression systems. The specific version of the adapter / coder used is the `QCoder'. The hardware implementation is in a single HCMOS chip, to maximize speed and minimize cost. The primary purpose of the chip is to provide superior data compression performance for bilevel image data by using conditional binary source models together with adaptive arithmetic coding. The coding scheme implemented is called the Adaptive Bilevel Image Compression (ABIC) algorithm. On business documents, it outperforms such nonadaptive algorithms as the CCITT Group 4 (T.6) Standard and comes into its own when adapting to documents scanned at different resolutions or which include significantly different data such as digital halftones.IBM Journal of Research and DevelopmentAdapter; adapter; Adaptive arithmetic coding; adaptive arithmetic coding; Adaptive binary arithmetic coding; adaptive binary arithmetic coding; Adaptive Binary Arithmetic Coding (ABAC); Adaptive data compression; Adaptive Data Compression; adaptive data compression; Arithmetic coder logic; arithmetic coder logic; Arithmetic Coder Logic; Bilevel Images; bilevel images; Bilevel images; binary source; Binary source models; Control Systems, Adaptive; Design; digital arithmetic; encoding; finite automata; hardware coding; Hardware coding; HCMOS chip; Image Processing; information; Information TheoryData Compression; Integrated Circuits, VLSI; models; picture processing; probability; QCoder; Qcoder; theory; VLSI; VLSI chip; VLSI ChipacknhfbIBM Res. Div., Almaden Res. CenterSan Jose, CA, USAB6120B (Codes); B6110 (Information theory); B6140C (Optical information and image processing); C5230 (Digital arithmetic methods); C1260 (Information theory); C4220 (Automata theory)C1250 (Pattern recognition)IBM Res. Div., Almaden Res. Center, San Jose, CA, USAhttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520IBM J Res DevDigital arithmetic; Encoding; Finite automata; Information theory; Picture processing; Probability; VLSIA Application; P Practical; T Theoretical or MathematicalA VLSI chip for data compression has been implemented based on a generalpurpose adaptive binary arithmetic coding (ABAC) architecture. The architecture permits the reuse of adapter and arithmetic coder logic in a universal way, which together with application specific model logic can create a variety of powerful compression systems. The specific version of the adapter\slash coder used is the `QCoder'. The hardware implementation is in a single HCMOS chip, to maximize speed and minimize cost. The primary purpose of the chip is to provide superior data compression performance for bilevel image data by using conditional binary source models together with adaptive arithmetic coding. The coding scheme implemented is called the Adaptive Bilevel Image Compression (ABIC) algorithm. On business documents, it outperforms such nonadaptive algorithms as the CCITT Group 4 (T.6) Standard and comes into its own when adapting to documents scanned at different resolutions or which include significantly different data such as digital halftones.Ronald B. Arps and Thomas K. Truong and David J. Lu and Richard C. Pasco and Theodore David FriedmanA multipurpose {VLSI} chip for adaptive data compression of bilevel images
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speed and minimize cost. The primary purpose of the
chip is to provide superior data compression
performance for bilevel image data by using conditional
binary source models together with adaptive arithmetic
coding. The coding scheme implemented is called the
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ssW3/WK57Eu;'WKuarticledatacompression.bibBarnsley:1988:BWCMichael F. Barnsley and Alan D. SloanA Better Way to Compress ImagesjBYTE13215222jan11988BYTEDJ03605280 (print), 10827838 (electronic) OR 03605280 (print), 10827838 (electronic)03605280 OR 03605280Sat Jan 26 12:46:16 MST 2013/usr/local/src/bib/bibliography/Graphics/imager/imager.88.bib; http://www.math.utah.edu/pub/bibnet/authors/m/mandelbrotbenoit.bib; http://www.math.utah.edu/pub/bibnet/subjects/fractalimagecomp.bib; http://www.math.utah.edu/pub/tex/bib/byte1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTBYTE MagazineackdsMichael F. Barnsley and Alan D. SloanA Better Way to Compress Images
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11W'31sk'E};U #skinproceedingsdatacompression.bibBassiouni:1988:SDCM. A. Bassiouni and N. Ranganathan and A. MukherjeeA scheme for data compression in supercomputersIEEE:1988:PSN12722781988Thu Apr 16 07:55:03 MDT 1998http://www.math.utah.edu/pub/tex/bib/datacompression.bib1998.04.16 07:55:03 MDTcommunication ba