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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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abstract = "The ``information explosion'' noted in recent years
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information be kept to a minimum. A fully automatic and
rapid threepart compressor which can be used with
``any'' body of information to greatly reduce slow
external storage requirements and to increase the rate
of information transmission through a computer is
described in this paper. The system will also
automatically decode the compressed information on an
itembyitem basis when it is required. The three
component compressors, which can be used separately to
accomplish their specific tasks, are discussed: NUPAK
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@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/),X 315%97C7;e95ephdthesisdatacompression.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 MSTrison of conventional information
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@Article{Lynn:1969:QCC,
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Encoding algorithms",
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transmission or storage of twolevel (black and white)
digital images are examined. Algorithms for prediction
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{{/U&/
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title = "Halftone Method w`)
@Article{Ross:1992:SDC,
author = "Ed Ross",
title = "A Simple DataCompression Te)S
@Article{Rodriguez:1995:GFF,
author = "Karen Rodriguez",
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@Article{Rokicki:1985:PPF,
author = "Tomas Rokicki",
title = "Packed ({{\tt PK}})
@Article{Rodeh:1981:LAD,
author = "Michael Rodeh and Vaughan R. Pratt and Shimon Even",
title = "Linear Algori6)
@Article{Ross:1994:ROD,
author = "John W. Ross",
title = "RecordOriented Data Co 9
@Article{Roger:1996:LCA,
author = "R. E. Roger and M. C. Cavenor",
title = "Lossl
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Theoretic Approach",
type = "{Ph.D.} thesis",
school = "University of Southern California",
address = "Los Angeles, CA, USA",
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year = "1976",
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acknowledgement = acknhfb,
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a comparison of methods",
type = "NBS special publication",
number = "50012",
institution = "Department of Commerce, National Bureau of Standards,
Institute for Computer Sciences and Technology",
address = "Washington, DC, USA",
pages = "iv + 31 + 1",
month = jun,w
year = "1977",
CODEN = "XNBSAV",
ISSN = "00831883",
ISSNL = "00831883",
LCCN = "QC100 .U57 no. 50012",
bibdate = "Mon Jan 28 15:18:45 MST 2013",
bibsource = "cliodb.cc.columbia.edu:7090/Voyager;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
libraries.colorado.edu:210/INNOPAC;
z3950.loc.gov:7090/Voyager",
note = "ERIC Document Number: ED149732",
URL = "http://ucblibraries.colorado.edu/circulation/forms/ericrequest.htm;
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abstract = "This report delineates the theory and terminology of
data compression. It surveys four data compression
methodsnull suppression, pattern substitution,
statistical encoding, and telemetry compressionand
relates them to a standard statistical coding problem,
i.e., the noiseless coding problem. The well defined
solution to that problem can serve as a standard on
which to base the effectiveness of data compression
methods. The simple measure described for calculating
the effectiveness of a data compression method is based
on the characterization of the solution to the
noiseless coding problem. Finally, guidelines are
stated concerning the relevance of data compression to
data processing applications. (Author/DAG).",
acknowledgement = acknhfb,
subject = "Data compression (Computer science); Coding theory;
Comparative Analysis; Computer Programs; Computer
Storage Devices; Cost Effectiveness; Data Processing;
Databases; Federal Government; Guidelines; Information
Scientists; Information Storage; Information Theory;
Standards.",
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V. Fractal clusters of stellar matter \\
VI. Turbulence, intermittency and curdling \\
VII. Meteorites, moon craters and soap \\
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}n bitvector compression",
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acknowledgement = acknhfb,
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}vjCOMPJ2114556feb21978CMPJA6http://dx.doi.org/10.1093/comjnl/21.1.4500104620 (print), 14602067 (electronic) OR 00104620 (print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:48:02 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/21/1.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_21/Issue_01/2012.12.04 14:48:02 MSThttp://comjnl.oxfordjournals.org/content/21/1/45.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/45.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/46.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/47.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/48.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/49.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/50.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/51.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/52.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/53.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/54.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/55.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_21/Issue_01/tiff/56.tifThe Computer Journalassociative parallel processor; byte; compression; computer selection and evaluation; data compression; data processing; fixed record length system; hardware; information retrieval systems; microprocessor system; organised variable record length; parallel processing; text editing; textual information; textual information decompressionacknhfbC0310 (EDP management); C6130 (Data handling techniques)Dept. of Electrical Engng. and Electronics, Brunel Univ., Uxbridge, UKhttp://comjnl.oxfordjournals.org/T Theoretical or Mathematical; X ExperimentalR. M. LeaText Compression with an Associative Parallel Processor
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http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
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acknowledgement = acknhfb,
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}nd Trellis Data Compression
Systems",
type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "142",
year = "1978",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/302929849",
acknowledgement = acknhfb,
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}wyStanford, CA, USA1421978Fri Feb 1 09:20:32 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:32 MSThttp://search.proquest.com/docview/302929849Electrical engineeringacknhfbYoseph LindeThe Design of Tree and Trellis Data Compression Systems
@PhdThesis{Linde:1978:DTT,
author = "Yoseph Linde",
title = "The Design of Tree and Trellis Data Compression
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type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "142",
year = "1978",
bibdate = "Fri Feb 1 09:20:32 MST 2013",
bibsource = "http://search.proquest.com/;
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acknowledgement = acknhfb,
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}tion $f$ de
compactage bas{\'e}e sur une {\'e}tude math{\'e}matique
du langage naturel (compactage de donn{\'e}es,
comparaison de textes, hashcoding). [Various
Applications Issued from a Compression Function $f$
Based on a Mathematical Study of the Natural Language
(Data Compression, Comparison of Texts, HashCoding)]",
journal = "RAIRO Informatique/Computer Science (Revue
Fran{\c{c}}aise d'Automatique, d'Informatique et de
Recherche Operationnelle)",
volume = "12",
number = "1",
pages = "4771",
month = "????",
year = "1978",
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bibdate = "Sat Jan 25 17:38:12 MST 1997",
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abstract = "Various compression techniques are discussed, along
with numerous applications. A method of compression is
considered which is based on a mathematical study
concerned with the repartition of characters in a set
natural language. A high rate of compression without
risk of redundancies is obtained. It is about 1/30
(sometimes much higher) when operating in an
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address = "Pasadena, CA, USA",
pages = "??",
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Noiseless Coding Techniques,'' Jet Propulsion
Laboratory, JPL Publication 7922, Pasadena, CA,
March.",
}sing Fixed Precision
Registers",
journal = jIEEETRANSINFTHEORY,
volume = "25",
number = "6",
pages = "672675",
month = nov,
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CODEN = "IETTAW",
ISSN = "00189448 (print), 15579654 (electronic)",
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rawdata = "Rubin, F. (1979) ``Arithmetic Stream Coding Using
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Information Theory}, {\bf25}(6):672675, November.",
}pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTIEEE Transactions on Information TheoryackdsF. RubinArithmetic Stream Coding Using Fixed Precision Registers
@Article{Rubin:1979:ASC,
author = "F. Rubin",
title = "Arithmetic Stream Coding Using Fixed Precision
Registers",
journal = jIEEETRANSINFTHEORY,
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
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rawdata = "Rubin, F. (1979) ``Arithmetic Stream Coding Using
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}f Data Compression Codes",
journal = jCRYPTOLOGIA,
volume = "3",
number = "4",
pages = "202205",
month = oct,
year = "1979",
CODEN = "CRYPE6",
DOI = "http://dx.doi.org/10.1080/0161117991854061",
ISSN = "01611194 (print), 15581586 (electronic)",
ISSNL = "01611194",
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616623.",
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fjournal = "Cryptologia",
journalURL = "http://www.tandfonline.com/loi/ucry20",
romanvolume = "III",
xxtitle = "Crypto of Data Compression Codes",
xxtitle = "Experiments in Text File Compression",
}aphic 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
@Article{Rubin:1979:CAD,
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note = "See also {\em Comm. ACM}, 19 (November 1976):
616623.",
URL = "http://www.informaworld.com/smpp/content~content=a741902806~db=all~order=page",
acknowledgement = acknhfb,
fjournal = "Cryptologia",
journalURL = "http://www.tandfonline.com/loi/ucry20",
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xxtitle = "Experiments in Text File Compression",
}
ZdZ~V 3)7%3/C7;e97Aphdthesisdatacompression.bibSmith:1979:SPAGeorge Heavener SmithSpectral Peak Amplitude Coding for Voice Data CompressionPh.D. thesisStanford UniversityStanford, CA, USA1011ޑX 3)#k'c57EC;u'#W#{kKarticledatacompression.bibRubin:1979:CADFrank RubinCryptograk Amplitude Coding for Voice Data
Compression",
type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "101",
year = "1979",
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classification = "0544: Electrical engineering",
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subject = "Electrical engineering",
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@PhdThesis{Smith:1979:SPA,
author = "George Heavener Smith",
title = "Spectral Peak Amplitude Coding for Voice Data
Compression",
type = "{Ph.D.} thesis",
school = "Stanford University",
address = "Stanford, CA, USA",
pages = "101",
year = "1979",
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classification = "0544: Electrical engineering",
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}f Path Compression on Balanced Trees",
journal = jJACM,
volume = "26",
number = "4",
pages = "690715",
month = oct,
year = "1979",
CODEN = "JACOAH",
ISSN = "00045411 (print), 1557735X (electronic)",
ISSNL = "00045411",
bibdate = "Wed Jan 15 18:12:53 MST 1997",
bibsource = "Compendex database;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/jacm.bib",
abstract = "Several fast algorithms are presented for computing
functions defined on paths in trees under various
assumptions. The algorithms are based on tree
manipulation methods first used to efficiently
represent equivalence relations. The algorithms have
$O((m + n) \alpha (m + n,n))$ running times, where $m$
and $n$ are measures of the problem size and $\alpha$
is a functional inverse of Ackermann's function. By
using one or more of these algorithms in combination
with other techniques, it is possible to solve several
graph problems in $O(m \alpha (m,n))$ time, where $m$
is the number of edges and $n$ is the number of
vertices in the problem graph.",
acknowledgement = acknhfb,
classification = "723; 921",
fjournal = "Journal of the Association for Computing Machinery",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J401",
journalabr = "J Assoc Comput Mach",
keywords = "computer programming  Subroutines; data processing;
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}Ackermann's function. By using one or more of these algorithms in combination with other techniques, it is possible to solve several graph problems in $O(m alpha (m,n))$ time, where $m$ is the number of edges and $n$ is the number of vertices in the problem graph.Journal of the Association for Computing Machinerycomputer programming  Subroutines; data processing; mathematical techniques  Treesacknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J401J Assoc Comput MachSeveral fast algorithms are presented for computing functions defined on paths in trees under various assumptions. The algorithms are based on tree manipulation methods first used to efficiently represent equivalence relations. The algorithms have $O((m + n) \alpha (m + n,n))$ running times, where $m$ and $n$ are measures of the problem size and $\alpha$ is a functional inverse of Ackermann's function. By using one or more of these algorithms in combination with other techniques, it is possible to solve several graph problems in $O(m \alpha (m,n))$ time, where $m$ is the number of edges and $n$ is the number of vertices in the problem graph.Robert Endre TarjanApplications of Path Compression on Balanced Trees
@Article{Tarjan:1979:APC,
author = "Robert Endre Tarjan",
title = "Applications of Path Compression on Balanced Trees",
journal = jJACM,
volume = "26",
number = "4",
pages = "690715",
month = oct,
year = "1979",
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abstract = "Several fast algorithms are presented for computing
functions defined on paths in trees under various
assumptions. The algorithms are based on tree
manipulation methods first used to efficiently
represent equivalence relations. The algorithms have
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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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xxtZ 3+3q57E;q=e33q'articledatacompression.bibTarjan:1979:APCRobert Endre TarjanApplications of Path Compression on Balanced TreesjJACM264690715oct101979JACOAH00045411 (print), 1557735X (electronic) OR 00045411 (print), 1557735X (electronic)00045411 OR 00045411Wed Jan 15 18:12:53 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/jacm.bib1997.01.15 18:12:53 MSTSeveral fast algorithms are presented for computing functions defined on paths in trees under various assumptions. The algorithms are based on tree manipulation methods first used to efficiently represent equivalence relations. The algorithms have $O((m + n) alpha (m + n,n))$ running times, where $m$ and $n$ are measures of the problem size and $alpha $ is a functional inverse of mpression and signal estimation with
application to digitized electrocardiograms",
type = "Doctoral thesis",
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address = "Lund, Sweden",
pages = "44",
year = "1980",
LCCN = "????",
bibdate = "Mon Jan 28 15:23:08 MST 2013",
bibsource = "catalog.crl.edu:210/INNOPAC;
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@PhdThesis{Borjesson:1980:DCS,
author = "Per Ola B{\"o}rjesson",
title = "Data compression and signal estimation with
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f X 3++5%!77Em;i7[+5}articledatacompression.bibDunham:1980:AASJames G. DunhamAbstract Alphabet SlidingBlock Entropy Compression Coding with a Fidelity CriterionjANNPROBAB8610851092dec121980APBYAE00911798 OR 0091179800911798 OR 00911798Sun Apr 20 10:44:17 MDT 2014http://www.math.utah.edu/pub/tex/bib/annprobab1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2014.04.20 10:44:17 MDThttp://projecteucbX 31/;+/%E7;7;phdthesisdatacoSlidingBlock Entropy Compression
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}lid.org/euclid.aop/1176994570Annals of Probabilityacknhfbhttp://projecteuclid.org/all/euclid.aopJames G. DunhamAbstract Alphabet SlidingBlock Entropy Compression Coding with a Fidelity Criterion
@Article{Dunham:1980:AAS,
author = "James G. Dunham",
title = "Abstract Alphabet SlidingBlock Entropy Compression
Coding with a Fidelity Criterion",
journal = jANNPROBAB,
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title = "Progressive Image Transmission Using a GrowthGeometry
Coding",
journal = jPROCIEEE,
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number = "7",
pages = "897909",
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month = jul,
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author = "Kenneth Knowlton",
title = "Progressive Transmission of GreyScale and Binary
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"Apparatus and method for compressing data signals and
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howpublished = "US Patent 4,558,302.",
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until its expiry on 7 August 2001. It led to
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journal = jATTBELLLABTECHJ,
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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",
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",
}
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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title = "Matching with MData 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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} MixedOrder Model Structures for Data
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number = "RJ4163 (46091)",
institution = pubIBM,
address = pubIBM:adr,
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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",
school = "Computer Science Department, Stanford University",
address = "Stanford, CA, USA",
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month = mar,
year = "1984",
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
Languages,'' {\it Computer Graphics},
{\bf18}(3):110.",
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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number = "3",
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month = jul,
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
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",
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xDY 3))=};Y5)I
miscdatacompression.bibWelch:1984:HSDTerry A. WelchHigh speed data compression and decompression apparatus and method1107aug81984Thu Feb 14 10:28:31 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.14 10:28:31 ???US Patent Application US19830505638 filed 20 June 1983. ?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 sion 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,
}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,
}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}.",
}
&0V}{
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author = "Ian H. Witten and Radford M. Neal and John G. Cleary",ՊA
@Article{Wiseman:2001:CEC,
author = "Yair Wiseman and Erick Fredj",
title = "Cont2 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
@Article{Welch:1984:THP,
author = "Terry A. Welch",
title = "A Technique for HighPerformance Data Compression",
journal = jCOMPUTER,
volume = "17",
number = "6",
pages = "819",
month = jun,
year = "1984",
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bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/computer1980.bib;
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acknowledgement = ackds # " and " # acknhfb,
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journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=2",
rawdata = "Welch, T. A. (1984) ``A Technique for HighPerformance
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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}.",
}
WEY 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)0018916ory of Codes",
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acknowledgement = ackds,
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#S# J[ 3/W!57E;?+!Ec/Wmarticledatacompression.bibCormack:1985:DCDGordon V. CormackData compression on a database systemjCACM281213361342dec121985CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Thu May 30 09:41:10 MDT 1996ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib; ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib; http://www.acm.org/pubs/toc/; http://www.math.utah.edu/pub/tex/bib/cacm198Љ!IU 3'![377E};g!_5articledatacompression.bibCole:1985:NPPA. J. ColeA Note on Peano Polygons and Gn on a database system",
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pages = "13361342",
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bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Database/Wiederhold.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Database/Graefe.bib;
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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/00010782/214963.html",
acknowledgement = acknhfb,
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",
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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{Eisenberger:1967:CSS,
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titlԆ^=
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@Article{Drinic:2007:PPC,
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}n; ray casting; sculptured surface; shaded image; smooth image; solid object; solids  Mathematical Models; surface patches; surface representation; surfaces  Mathematical Models; topological information; verticesI.3 Computing Methodologies, COMPUTER GRAPHICS, Miscellaneous I.3.5 Computing Methodologies, COMPUTER GRAPHICS, Computational Geometry and Object Modeling, Curve, surface, solid, and object representationsacknhfbUniv of Glasgow, Computing Science Dep, Glasgow, ScotlUniv of Glasgow, Computing Science Dep, Glasgow, ScotlDept. of Comput. Sci., Glasgow Univ., UKhttp://onlinelibrary.wiley.com/journal/10.1111/(ISSN)14678659/P PracticalMarion S. CottinghamA Compressed Data Structure for Surface Representation
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} "Data compression using static {Huffman} codedecode
tables",
journal = jCACM,
volume = "28",
number = "6",
institution = "Cleveland St U",
pages = "612616",
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bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib;
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acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; experimentation; image information;
measurement; performance; statistics",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
compaction and compression. {\bf D.3.m}: Software,
PROGRAMMING LANGUAGES, Miscellaneous.",
}:41:10 MDT 1996ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib; http://www.acm.org/pubs/toc/; http://www.math.utah.edu/pub/tex/bib/cacm1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1996.05.30 09:41:10 MDThttp://www.acm.org/pubs/toc/Abstracts/00010782/3815.htmlCommunications of the ACMalgorithms; experimentation; image information; measurement; performance; statisticsbf E.4: Data, CODING AND INFORMATION THEORY, Data compaction and compression. bf D.3.m: Software, PROGRAMMING LANGUAGES, Miscellaneous.acknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79David R. McIntyre and Michael A. PechuraData compression using static {Huffman} codedecode tables
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author = "David R. McIntyre and Michael A. Pechura",
title = "Data compression using static {Huffman} codedecode
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URL = "http://www.acm.org/pubs/toc/Abstracts/00010782/3815.html",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
keywords = "algorithms; experimentation; image information;
measurement; performance; statistics",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY, Data
compaction and compression. {\bf D.3.m}: Software,
PROGRAMMING LANGUAGES, Miscellaneous.",
} "A. Apostolico and Z. Galil",
booktitle = "Combinatorial Algorithms on Words",
title = "Variations On a Theme by {Ziv} and {Lempel}",
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pp. 131140.",
}d M. N. WegmanCombinatorial Algorithms on WordsA. Apostolico and Z. GalilVariations On a Theme by {Ziv} and {Lempel}
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publisher = pubSAMS,
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acknowledgement = ackds,
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}
FWU 3/%C%E};%Cqbookdatacompression.bibPohlmann:1985:PDAKen PohlmannPrinciples of Digital AudiopubSAMSpubSAMS:adr1985Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsKen PohlmannPrinciples of Digital Audio
@Book{Pohlmann:1985:PDA,
author = "Ken Pohlmann",
title = "Principles of Digital Audio",
publisher = pubSAMS,
address = pubSAMS: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 = "Pohlmann, Ken (1985) {\it Principles of Digital
Audio}, Indianapolis, IN, Howard Sams \& Co.",
}antization of Images Based on a Composite
Source Model (Coding, Data Compression, Picture)",
type = "{Ph.D.} thesis",
school = "University of California, Santa Barbara",
address = "Santa Barbara, USA",
pages = "377",
year = "1985",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303336232",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8605950",
subject = "Electrical engineering",
}ression.bib2013.02.01 08:42:55 MSThttp://search.proquest.com/docview/303336232Electrical engineeringacknhfbBhaskar RamamurthiVector Quantization of Images Based on a Composite Source Model (Coding, Data Compression, Picture)
@PhdThesis{Ramamurthi:1985:VQI,
author = "Bhaskar Ramamurthi",
title = "Vector Quantization of Images Based on a Composite
Source Model (Coding, Data Compression, Picture)",
type = "{Ph.D.} thesis",
school = "University of California, Santa Barbara",
address = "Santa Barbara, USA",
pages = "377",
year = "1985",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303336232",
acknowledgement = acknhfb,
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}
,K,ZZ 3)#57=%;?[c#%articledatac$YV 3'K77Ea;w'UOarticledatacompression.bibRokicki:1985:PPFTomas RokickiPacked (tt PK) Font File FormatjTUGboat63115120nov11198508963207 OR 0896320708963207 OR 08963207Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/tugboat.bib2013.01.26 12:46:16 MSThttp://www.tug.org/TUGbo)XX 331S%[1C7;e91SCphdthesisdatacompression.bibRamamurthi:1985:VQIBhaskar RamamurthiVector Quantization of Images Based on a Composite Source Model (Coding, Data Compression, Picture)Ph.D. thesisUniversity of California, Santa BarbaraSanta Barbara, USA3771985Fri Feb 1 08:42:55 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacomp Font File Format",
journal = jTUGboat,
volume = "6",
number = "3",
pages = "115120",
month = nov,
year = "1985",
CODEN = "????",
ISSN = "08963207",
ISSNL = "08963207",
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/tugboat.bib",
URL = "http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "TUGboat",
rawdata = "Rokicki, Tomas (1985) ``Packed (PK) Font File
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at
http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf.",
}at/Articles/tb063/tb13pk.pdfTUGboatackdsTomas RokickiPacked ({{\tt PK}}) Font File Format
@Article{Rokicki:1985:PPF,
author = "Tomas Rokicki",
title = "Packed ({{\tt PK}}) Font File Format",
journal = jTUGboat,
volume = "6",
number = "3",
pages = "115120",
month = nov,
year = "1985",
CODEN = "????",
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ISSNL = "08963207",
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/tugboat.bib",
URL = "http://www.tug.org/TUGboat/Articles/tb063/tb13pk.pdf",
acknowledgement = ackds # " and " # acknhfb,
fjournal = "TUGboat",
rawdata = "Rokicki, Tomas (1985) ``Packed (PK) Font File
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}
dtree approximation and
compression",
journal = jCACM,
volume = "28",
number = "9",
institution = "U Md",
pages = "973993",
month = sep,
year = "1985",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Mon Jan 27 13:21:19 1997",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/84.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/00010782/4290.html",
acknowledgement = acknhfb,
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.",
}ompression.bibSamet:1985:DSQHanan SametData structures for quadtree approximation and compressionjCACM289U Md973993sep91985CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 00010782Mon Jan 27 13:21:19 1997ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib; ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/84.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.bib1997.01.27 13:21:19 ???http://www.acm.org/pubs/toc/Abstracts/00010782/4290.htmlCommunications of the ACMalgorithms; image approximation; theorybf 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 m
ethods. bf I.4.2: Computing Methodologies, IMAGE PROCESSING, Compression (Coding), Exact coding.acknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79Hanan SametData structures for quadtree approximation and compression
@Article{Samet:1985:DSQ,
author = "Hanan Samet",
title = "Data structures for quadtree approximation and
compression",
journal = jCACM,
volume = "28",
number = "9",
institution = "U Md",
pages = "973993",
month = sep,
year = "1985",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
bibdate = "Mon Jan 27 13:21:19 1997",
bibsource = "ftp://ftp.ira.uka.de/pub/bibliography/Graphics/rosenfeld/1985.bib;
ftp://ftp.ira.uka.de/pub/bibliography/Graphics/siggraph/84.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/00010782/4290.html",
acknowledgement = acknhfb,
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.",
}fferent Methods Based on the {KarhunenLoeve}
Expansion and Used in Image Analysis",
journal = jCVGIP,
volume = "29",
number = "2",
pages = "259269",
month = feb,
year = "1985",
CODEN = "CVGPDB",
ISSN = "0734189X",
ISSNL = "0734189X",
bibdate = "Thu Feb 6 18:44:11 MST 1997",
bibsource = "Compendex database; Graphics/rosenfeld/1985.bib;
http://www.math.utah.edu/pub/tex/bib/cvgip.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
affiliation = "U London",
affiliationaddress = "Queen Elizabeth Coll, Dep of Physics, London,
Engl",
classification = "716; 718; 723",
fjournal = "Computer Vision, Graphics, and Image Processing",
journalURL = "http://www.sciencedirect.com/science/journal/0734189X",
journalabr = "Comput Vision Graphics Image Process",
keywords = "data compression; eigendata problem; image analysis;
image processing; image transformation, space
frequency, digital; KarhunenLoeve expansion; pattern
recognition; signal processing",
}9XThu Feb 6 18:44:11 MST 1997Compendex database; Graphics/rosenfeld/1985.bib; http://www.math.utah.edu/pub/tex/bib/cvgip.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1997.02.06 18:44:11 MSTComputer Vision, Graphics, and Image Processingdata compression; eigendata problem; image analysis; image processing; image transformation, space frequency, digital; KarhunenLoeve expansion; pattern recognition; signal processingacknhfbU LondonQueen Elizabeth Coll, Dep of Physics, London, Englhttp://www.sciencedirect.com/science/journal/0734189XComput Vision Graphics Image ProcessM. H. Savoji and R. E. BurgeOn Different Methods Based on the {KarhunenLoeve} Expansion and Used in Image Analysis
@Article{Savoji:1985:DMB,
author = "M. H. Savoji and R. E. Burge",
title = "On Different Methods Based on the {KarhunenLoeve}
Expansion and Used in Image Analysis",
journal = jCVGIP,
volume = "29",
number = "2",
pages = "259269",
month = feb,
year = "1985",
CODEN = "CVGPDB",
ISSN = "0734189X",
ISSNL = "0734189X",
bibdate = "Thu Feb 6 18:44:11 MST 1997",
bibsource = "Compendex database; Graphics/rosenfeld/1985.bib;
http://www.math.utah.edu/pub/tex/bib/cvgip.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
affiliation = "U London",
affiliationaddress = "Queen Elizabeth Coll, Dep of Physics, London,
Engl",
classification = "716; 718; 723",
fjournal = "Computer Vision, Graphics, and Image Processing",
journalURL = "http://www.sciencedirect.com/science/journal/0734189X",
journalabr = "Comput Vision Graphics Image Process",
keywords = "data compression; eigendata problem; image analysis;
image processing; image transformation, space
frequency, digital; KarhunenLoeve expansion; pattern
recognition; signal processing",
}
22i\_3'})57E;[)wwEQ'G)1articledatacompression.bibTodd:1985:PRCStephen Todd and Glen G. Langdon, Jr. and Jorma RissanenParameter Reduction and Context Selection for Compression of GrayScale ImagesjIBMJRD292188193mar31985IBMJAE00188646 (print), 21518556 (electronic) OR 00188646 (print), 21518556 (electronic)00188646 OR 00188646Tue Mar 25 14:26:59 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/ibmjrd.bib1997.03.25 14:26:59 MSTIn the compression of multilevel (color or gray) image d5[Y3+E777C?;k{qwUE;{articledatacompression.bibSavoji:1985:DMBM. H. Savoji and R. E. BurgeOn Different Methods Based on the KarhunenLoeve Expansion and Used in Image AnalysisjCVGIP292259269feb21985CVGPDB0734189X OR 0734189X0734189X OR 073418nd Context Selection for
Compression of GrayScale Images",
journal = jIBMJRD,
volume = "29",
number = "2",
pages = "188193",
month = mar,
year = "1985",
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 = "In the compression of multilevel (color or gray) image
data, effective compression is obtained economically by
judicial selection of the predictor and the
conditioning states or contexts which determine what
probability distribution to use for the prediction
error. The authors provide a costeffective approach to
the following two problems: (1) to reduce the number of
coding parameters to describe a distribution when
several contexts are involved, and (2) to choose
contexts for which variations in prediction error
distributions are expected. They solve Problem 1
(distribution description) by a partition of the range
of values of the outcomes into equivalence classes,
called buckets. The result is a special decomposition
of the error range. Costeffectiveness is achieved by
using the many contexts only to predict the bucket
(equivalence class) probabilities. They solve Problem 2
(economical contexts) by using the buckets of the
surrounding pixels as components of the conditioning
class. The bucket values have the desirable properties
needed for the error distributions.",
acknowledgement = acknhfb,
affiliation = "IBM, United Kingdom Scientific Cent, Winchester,
Engl",
affiliationaddress = "IBM, United Kingdom Scientific Cent, Winchester,
Engl",
classcodes = "B6140C (Optical information, image and video signal
processing); C1250 (Pattern recognition)",
classification = "723; 741",
corpsource = "IBM UK Sci. Centre, Winchester, UK",
fjournal = "IBM Journal of Research and Development",
journalURL = "http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5288520",
journalabr = "IBM J Res Dev",
keywords = "Analysis; buckets; classes; coding; compression;
conditioning class; context selection; data
compression; encoding; equivalence; error
distributions; grayscale images; image processing;
parameter reduction; parameters; picture processing;
prediction error distributions",
treatment = "T Theoretical or Mathematical",
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}ms; data processing; File Organization; file sets; information theory  Data CompressionacknhfbDr Dobb's J Software ToolsRussell Nelson{ARC} Wars: {MSDOS} Archiving Utilities
@Article{Nelson:1987:AWM,
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month = mar,
year = "1987",
CODEN = "DDJOEB",
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acknowledgement = acknhfb,
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data processing; File Organization; file sets;
information theory  Data Compression",
}
??5W 3+)U!7C%;UA)]!articledatacompression.bibNelson:1987:AWMRussell NelsonARC Wars: MSDOS Archiving UtilitiesjDDJ1232628, 30mar31987DDJOEB08883076 OR 08883076Thu Jan 9 09:35:43 MST 1997Compendex database; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1997.01.09 09:35:43 MSTDr. Dobb's Journal of Software Toolsarc archiving utility; computer operating systerocessing",
publisher = pubMCGRAWHILL,
address = pubMCGRAWHILL:adr,
pages = "??",
year = "1987",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
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acknowledgement = ackds,
rawdata = "Parsons, Thomas W. (1987) {\it Voice and Speech
Processing}, New York, McGrawHill.",
}
fU 3/C+3E};/Cbookdatacompression.bibParsons:1987:VSPThomas W. ParsonsVoice and Speech ProcessingpubMCGRAWHILLpubMCGRAWHILL:adr1987Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTackdsThomas W. ParsonsVoice and Speech Processing
@Book{Parsons:1987:VSP,
author = "Thomas W. Parsons",
title = "Voice and Speech Processing",
publisher = pubMCGRAWHILL,
address = pubMCGRAWHILL:adr,
pages = "??",
year = "1987",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
rawdata = "Parsons, Thomas W. (1987) {\it Voice and Speech
Processing}, New York, McGrawHill.",
}le Compression",
journal = jCOMPJ,
volume = "30",
number = "1",
pages = "8086",
month = feb,
year = "1987",
CODEN = "CMPJA6",
DOI = "http://dx.doi.org/10.1093/comjnl/30.1.80",
ISSN = "00104620 (print), 14602067 (electronic)",
ISSNL = "00104620",
bibdate = "Tue Dec 4 14:48:22 MST 2012",
bibsource = "Compendex database;
http://comjnl.oxfordjournals.org/content/30/1.toc;
http://www.math.utah.edu/pub/tex/bib/compj.bib;
http://www.math.utah.edu/pub/tex/bib/compj1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/",
URL = "http://comjnl.oxfordjournals.org/content/30/1/80.full.pdf+html;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/80.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/81.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/82.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/83.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/84.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/85.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/86.tif",
acknowledgement = acknhfb,
affiliation = "Univ of Turku, Turku, Finl",
affiliationaddress = "Univ of Turku, Turku, Finl",
classcodes = "C5320C (Storage on moving magnetic media); C6120 (File
organisation); C6130 (Data handling techniques)",
classification = "723",
corpsource = "Dept. of Comput. Sci., Turku Univ., Finland",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "computer operating systems  Storage Allocation;
data compression; data processing; DEC2060; directory
pages; disc files; disk files; file compression; file
organisation; File Organization; information theory 
Data Compression; magnetic disc storage; text
compression; university use",
treatment = "P Practical",
}(print), 14602067 (electronic)00104620 OR 00104620Tue Dec 4 14:48:22 MST 2012Compendex database; http://comjnl.oxfordjournals.org/content/30/1.toc; http://www.math.utah.edu/pub/tex/bib/compj.bib; http://www.math.utah.edu/pub/tex/bib/compj1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/2012.12.04 14:48:22 MSThttp://comjnl.oxfordjournals.org/content/30/1/80.full.pdf+html; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/80.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/81.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/82.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/83.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/84.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/85.tif; http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/86.tifThe Computer Journalcomputer operating systems  Storage Allocation; data compression; data processing; DEC2060; directory pages; disc files; disk files; file compression; file organisation; File Organization; information theory  Data Compression; magnetic disc storage; text compression; university useacknhfbUniv of Turku, Turku, FinlUniv of Turku, Turku, FinlC5320C (Storage on moving magnetic media); C6120 (File organisation); C6130 (Data handling techniques)Dept. of Comput. Sci., Turku Univ., Finlandhttp://comjnl.oxfordjournals.org/P PracticalT. RaitaAn Automatic System for File Compression
@Article{Raita:1987:ASF,
author = "T. Raita",
title = "An Automatic System for File Compression",
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number = "1",
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bibdate = "Tue Dec 4 14:48:22 MST 2012",
bibsource = "Compendex database;
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http://www.math.utah.edu/pub/tex/bib/compj1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
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URL = "http://comjnl.oxfordjournals.org/content/30/1/80.full.pdf+html;
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http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/81.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/82.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/83.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/84.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/85.tif;
http://www3.oup.co.uk/computer_journal/hdb/Volume_30/Issue_01/tiff/86.tif",
acknowledgement = acknhfb,
affiliation = "Univ of Turku, Turku, Finl",
affiliationaddress = "Univ of Turku, Turku, Finl",
classcodes = "C5320C (Storage on moving magnetic media); C6120 (File
organisation); C6130 (Data handling techniques)",
classification = "723",
corpsource = "Dept. of Comput. Sci., Turku Univ., Finland",
fjournal = "The Computer Journal",
journalURL = "http://comjnl.oxfordjournals.org/",
keywords = "computer operating systems  Storage Allocation;
data compression; data processing; DEC2060; directory
pages; disc files; disk files; file compression; file
organisation; File Organization; information theory 
Data Compression; magnetic disc storage; text
compression; university use",
treatment = "P Practical",
}
Z 3)]]57CS;#5MAAYcO#]
articledatacompression.bibRaita:1987:ASFT. RaitaAn Automatic System for File CompressionjCOMPJ3018086feb21987CMPJA6http://dx.doi.org/10.1093/comjnl/30.1.8000104620 (print), 14602067 (electronic) OR 00104620 ctive Test Compression by Hashing",
crossref = "Yu:1987:RDI",
pages = "223233",
year = "1987",
bibdate = "Tue Jul 19 08:43:39 1994",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/hash.bib",
acknowledgement = acknhfb,
}
kV'3);Y#=[;;Yyinproceedingsdatacompression.bibRaite:1987:PTCT. Raita and J. TeuholaPredictive Test Compression by HashingYu:1987:RDI2232331987Tue Jul 19 08:43:39 1994http://www.math.utah.edu/pub/tex/bib/datacompression.bib; http://www.math.utah.edu/pub/tex/bib/hash.bib1994.07.19 08:43:39 ???acknhfbT. Raita and J. TeuholaPredictive Test Compression by Hashing
@InProceedings{Raite:1987:PTC,
author = "T. Raita and J. Teuhola",
title = "Predictive Test Compression by Hashing",
crossref = "Yu:1987:RDI",
pages = "223233",
year = "1987",
bibdate = "Tue Jul 19 08:43:39 1994",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/hash.bib",
acknowledgement = acknhfb,
}ve Source Models for Data Compression",
type = "{Ph.D.} thesis",
school = "University of Notre Dame",
address = "Notre Dame, IN, USA",
pages = "162",
year = "1987",
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/303617541",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8712954",
subject = "Electrical engineering",
}Notre DameNotre Dame, IN, USA1621987Fri 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/303617541Electrical engineeringacknhfbTenkasi V. RamabadranAdaptive Source Models for Data Compression
@PhdThesis{Ramabadran:1987:ASM,
author = "Tenkasi V. Ramabadran",
title = "Adaptive Source Models for Data Compression",
type = "{Ph.D.} thesis",
school = "University of Notre Dame",
address = "Notre Dame, IN, USA",
pages = "162",
year = "1987",
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/303617541",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8712954",
subject = "Electrical engineering",
}
//^X 3%/
%?/C7;e/
phdthesisdatacompression.bibRoy:1987:CESBimal Chandra RoyCompression of Equally Spaced Digital Elevation Model (Dem) DataPh.D. thesisThe O[V 337c%=3C7;e97cphdthesisdatacompression.bibRamabadran:1987:ASMTenkasi V. RamabadranAdaptive Source Models for Data CompressionPh.D. thesisUniversity of ually Spaced Digital Elevation Model
(Dem) Data",
type = "{Ph.D.} thesis",
school = "The Ohio State University",
address = "Columbus, OH, USA",
pages = "268",
year = "1987",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303501021",
acknowledgement = acknhfb,
classification = "0370: Earth",
dissertationthesisnumber = "8726719",
subject = "Earth",
}hio State UniversityColumbus, OH, USA2681987Fri Feb 1 08:42:55 MST 2013http://search.proquest.com/; http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 08:42:55 MSThttp://search.proquest.com/docview/303501021EarthacknhfbBimal Chandra RoyCompression of Equally Spaced Digital Elevation Model (Dem) Data
@PhdThesis{Roy:1987:CES,
author = "Bimal Chandra Roy",
title = "Compression of Equally Spaced Digital Elevation Model
(Dem) Data",
type = "{Ph.D.} thesis",
school = "The Ohio State University",
address = "Columbus, OH, USA",
pages = "268",
year = "1987",
bibdate = "Fri Feb 1 08:42:55 MST 2013",
bibsource = "http://search.proquest.com/;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
URL = "http://search.proquest.com/docview/303501021",
acknowledgement = acknhfb,
classification = "0370: Earth",
dissertationthesisnumber = "8726719",
subject = "Earth",
} Cormack",
title = "Comments to: {``A locally adaptive data compression
scheme'' [Comm. ACM {\bf 29}, 1986, 4, 320330, MR
87e:68020] by J. L. Bentley, D. D. Sleator, R. E.
Tarjan and V. K. Wei}",
journal = jCACM,
volume = "30",
number = "9",
pages = "792794",
month = sep,
year = "1987",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
MRclass = "68P99 (94A29)",
MRnumber = "89a:68045",
bibdate = "Tue Dec 26 13:35:07 1995",
bibsource = "http://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
}{Ryabko:1987:CLA,
author = "B. Ya. Ryabko and R. Nigel Horspool and Gordon V.
Cormack",
title = "Comments to: {``A locally adaptive data compression
scheme'' [Comm. ACM {\bf 29}, 1986, 4, 320330, MR
87e:68020] by J. L. Bentley, D. D. Sleator, R. E.
Tarjan and V. K. Wei}",
journal = jCACM,
volume = "30",
number = "9",
pages = "792794",
month = sep,
year = "1987",
CODEN = "CACMA2",
ISSN = "00010782 (print), 15577317 (electronic)",
ISSNL = "00010782",
MRclass = "68P99 (94A29)",
MRnumber = "89a:68045",
bibdate = "Tue Dec 26 13:35:07 1995",
bibsource = "http://www.math.utah.edu/pub/tex/bib/cacm1980.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = acknhfb,
fjournal = "Communications of the ACM",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J79",
}
XY3+a57'=c;?ckarticledatacompression.bibRyabko:1987:CLAB. Ya. Ryabko and R. Nigel Horspool and Gordon V. CormackComments to: ``A locally adaptive data compression scheme'' [Comm. ACM bf 29, 1986, 4, 320330, MR 87e:68020] by J. L. Bentley, D. D. Sleator, R. E. Tarjan and V. K. WeijCACM309792794sep91987CACMA200010782 (print), 15577317 (electronic) OR 00010782 (print), 15577317 (electronic)00010782 OR 0001078268P99 (94A29)89a:68045Tue Dec 26 13:35:07 1995http://www.math.utah.edu/pub/tex/bib/cacm1980.bib; http://www.math.utah.edu/pub/tex/bib/datacompression.bib1995.12.26 13:35:07 ???Communications of the ACMacknhfbhttp://portal.acm.org/browse_dl.cfm?idx=J79B. Ya. Ryabko and R. Nigel Horspool and Gordon V. CormackComments to: {``A locally adaptive data compression scheme'' [Comm. ACM {\bf 29}, 1986, 4, 320330, MR 87e:68020] by J. L. Bentley, D. D. Sleator, R. E. Tarjan and V. K. Wei}
@Articleta Compression Scheme",
journal = jAUSTRALIANCOMPSCICOMM,
volume = "9",
number = "1",
pages = "262272",
year = "1987",
CODEN = "ACSCDD",
ISSN = "01573055",
ISSNL = "",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
fjournal = "Australian Computer Science Communications",
rawdata = "Tischer, Peter (1987) ``A Modified LZW Data
Compression Scheme,'' {\it Australian computer science
communications}, {\bf9}(1):262272.",
}ALIANCOMPSCICOMM912622721987ACSCDD01573055 OR 01573055Sat Jan 26 12:46:16 MST 2013http://www.math.utah.edu/pub/tex/bib/datacompression.bib2013.01.26 12:46:16 MSTAustralian Computer Science CommunicationsackdsPeter TischerA Modified {LZW} Data Compression Scheme
@Article{Tischer:1987:MLD,
author = "Peter Tischer",
title = "A Modified {LZW} Data Compression Scheme",
journal = jAUSTRALIANCOMPSCICOMM,
volume = "9",
number = "1",
pages = "262272",
year = "1987",
CODEN = "ACSCDD",
ISSN = "01573055",
ISSNL = "",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "http://www.math.utah.edu/pub/tex/bib/datacompression.bib",
acknowledgement = ackds,
fjournal = "Australian Computer Science Communications",
rawdata = "Tischer, Peter (1987) ``A Modified LZW Data
Compression Scheme,'' {\it Australian computer science
communications}, {\bf9}(1):262272.",
}
>mX 3''E%9GC7;e9'Ephdthesisdatacompression.bibTran:1987:DCBThao Duy TranData Compression of Bauded Signals Using the Baseband Residual Vector Quantization AlgorithmPh.D. thesisThe University of UtahSalt Lake City, UT 84112, USA1671987Fri Feb 1 09:20:36 MST 2013http://search.proquest.com/; http://wwƉ6U 3'YA7E};a']marticledatacompression.bibTischer:1987:MLDPeter TischerA Modified LZW Data Compression SchemejAUSTRBauded Signals Using the Baseband
Residual Vector Quantization Algorithm",
type = "{Ph.D.} thesis",
school = "The University of Utah",
address = "Salt Lake City, UT 84112, USA",
pages = "167",
year = "1987",
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/303609161",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8727361",
subject = "Electrical engineering",
}w.math.utah.edu/pub/tex/bib/datacompression.bib2013.02.01 09:20:36 MSThttp://search.proquest.com/docview/303609161Electrical engineeringacknhfbThao Duy TranData Compression of Bauded Signals Using the Baseband Residual Vector Quantization Algorithm
@PhdThesis{Tran:1987:DCB,
author = "Thao Duy Tran",
title = "Data Compression of Bauded Signals Using the Baseband
Residual Vector Quantization Algorithm",
type = "{Ph.D.} thesis",
school = "The University of Utah",
address = "Salt Lake City, UT 84112, USA",
pages = "167",
year = "1987",
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/303609161",
acknowledgement = acknhfb,
classification = "0544: Electrical engineering",
dissertationthesisnumber = "8727361",
subject = "Electrical engineering",
}alysis of Dynamic {Huffman} Codes",
journal = jJACM,
volume = "34",
number = "4",
pages = "825845",
month = oct,
year = "1987",
CODEN = "JACOAH",
ISSN = "00045411 (print), 1557735X (electronic)",
ISSNL = "00045411",
bibdate = "Sat Jan 26 12:46:16 MST 2013",
bibsource = "Compendex database;
ftp://ftp.ira.uka.de/pub/bibliography/Misc/IMMD_IV.bib;
http://www.math.utah.edu/pub/tex/bib/datacompression.bib;
http://www.math.utah.edu/pub/tex/bib/jacm.bib",
URL = "http://www.acm.org/pubs/toc/Abstracts/00045411/42227.html",
abstract = "A new onepass algorithm for constructing dynamic
Huffman codes is introduced and analyzed. We also
analyze the onepass algorithm due to N. Faller, R. G.
Gallager, and D. E. Knuth. In each algorithm, both the
sender and the receiver maintain equivalent dynamically
varying Huffman trees, and the coding is done in real
time. We show that the number of bits used by the new
algorithm to encode a message containing t letters is
less than t bits more than that used by the
conventional twopass Huffman scheme, independent of
the alphabet size. This is best possible in the worst
case, for any onepass Huffman method. Tight upper and
lower bounds are derived. Empirical tests show that the
encodings produced by the new algorithm are shorter
than those of the other onepass algorithm and, except
for long messages, are shorter than those of the
twopass method. The new algorithm is well suited for
online encoding\slash decoding in data networks and for
file compression.",
acknowledgement = ackds # " and " # acknhfb,
affiliationaddress = "Brown Univ, Providence, RI, USA",
classification = "723",
fjournal = "Journal of the Association for Computing Machinery",
journalURL = "http://portal.acm.org/browse_dl.cfm?idx=J401",
journalabr = "J Assoc Comput Mach",
keywords = "algorithms; codes, symbolic; computer networks;
computer programming  Algorithms; Design; design;
dynamic Huffman codes; file compression; onepass
algorithm; performance; theory",
rawdata = "Vitter, Jeffrey S. (1987) ``Design and Analysis of
Dynamic Huffman Codes,'' {\it Journal of the ACM},
{\bf34}(4):825845, October.",
subject = "{\bf E.4}: Data, CODING AND INFORMATION THEORY. {\bf
F.2.2}: Theory of Computation, ANALYSIS OF ALGORITHMS
AND PROBLEM COMPLEXITY, Nonnumerical Algorithms and
Problems. {\bf E.1}: Data, DATA STRUCTURES, Trees. {\bf
G.2.2}: Mathematics of Computing, DISCRETE MATHEMATICS,
Graph Theory, Trees. {\bf C.2.0}: Computer Systems
Organization, COMPUTERCOMMUNICATION NETWORKS, General,
Data communications.",
} /Abstracts/00045411/42227.htmlA new onepass algorithm for constructing dynamic Huffman codes is introduced and analyzed. We also analyze the onepass algorithm due to N. Faller, R. G. Gallager, and D. E. Knuth. In each algorithm, both the sender and the receiver maintain equivalent dynamically varying Huffman trees, and the coding is done in real time. We show that the number of bits used by the new algorithm to encode a message containing t letters is less than t bits more than that used by the conventional twopass Huffman scheme, independent of the alphabet size. This is best possible in the worst case, for any onepass Huffman method. Tight upper and lower bounds are derived. Empirical tests show that the encodings produced by the new algorithm are shorter than those of the other onepass algorithm and, except for long messages, are shorter than those of the twopass method. The new algorithm is well suited for online encoding / decoding in data networks and for file compression.Journal of the Association for Computing Machineryalgorithms; codes, symbolic; computer networks; computer programming  Algorithms; Design; design; dynamic Huffman codes; file compression; onepass algorithm; performance; theorybf E.4: Data, CODING AND INFORMATION THEORY. bf F.2.2: Theory of Computation, ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY, Nonnumerical Algorithms and Problems. bf E.1: Data, DATA STRUCTURES, Trees. bf G.2.2: Mathematics of Computing, DISCRETE MATHEMATICS, Graph Theory, Trees. bf C.2.0: Computer Systems Organization, COMPUTERCOMMUNICATION NETWORKS, General, Data communications.ackdsBrown Univ, Providence, RI, USAhttp://portal.acm.org/browse_dl.cfm?idx=J401J Assoc Comput MachA new onepass algorithm for constructing dynamic Huffman codes is introduced and analyzed. We also analyze the onepass algorithm due to N. Faller, R. G. Gallager, and D. E. Knuth. In each algorithm, both the sender and the receiver maintain equivalent dynamically varying Huffman trees, and the coding is done in real time. We show that the number of bits used by the new algorithm to encode a message containing t letters is less than t bits more than that used by the conventional twopass Huffman scheme, independent of the alphabet size. This is best possible in the worst case, for any onepass Huffman method. Tight upper and lower bounds are derived. Empirical tests show that the encodings produced by the new algorithm are shorter than those of the other onepass algorithm and, except for long messages, are shorter than those of the twopass method. The new algorithm is well suited for online encoding\slash decoding in data networks and for file compression.Jeffrey Scott VitterDesign and Analysis of Dynamic {Huffman} Codes
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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
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abstract = "A VLSI chip for data compression has been implemented
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binary source models together with adaptive arithmetic
coding. The coding scheme implemented is called the
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business documents, it outperforms such nonadaptive
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}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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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
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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 bandwidth; communication controllers; data compression; encoding; enhanced arithmetic coding scheme; parallel processing; supercomputers; VLSI designsacknhfbDept. of Comput. Sci., Central Florida Univ., Orlando, FL, USAP PracticalM. A. Bassiouni and N. Ranganath4V 333%CQ1Ei;33!bookdatacompression.bibBarnsley:1988:FEMichael F. BarnsleyFractals EverywherepubACADEMICpubACADEMIC:adrxii + 39419880120790629 OR 01207906299780120790623 OR 9780120790623QA614.86 .B37 1988Sat Jan 26 12:46:16 MST 201herjee",
title = "A scheme for data compression in supercomputers",
crossref = "IEEE:1988:PSN",
volume = "1",
pages = "272278",
year = "1988",
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