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dc.contributor.authorHoward, Paul G.
dc.contributor.authorVitter, Jeffrey Scott
dc.date.accessioned2011-03-21T20:46:12Z
dc.date.available2011-03-21T20:46:12Z
dc.date.issued1994
dc.identifier.citationP. G. Howard and J. S. Vitter. “Arithmetic Coding for Data Compression,” invited paper in Proceedings of the IEEE, 82(6), June 1994, 857–865. http://dx.doi.org/10.1109/5.286189
dc.identifier.urihttp://hdl.handle.net/1808/7229
dc.description(c) 1994 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.description.abstractArithmetic coding provides an e ective mechanism for remov- ing redundancy in the encoding of data. We show how arithmetic coding works and describe an e cient implementation that uses table lookup as a fast alternative to arithmetic operations. The reduced-precision arithmetic has a provably negligible e ect on the amount of compression achieved. We can speed up the implemen- tation further by use of parallel processing. We discuss the role of probability models and how they provide probability information to the arithmetic coder. We conclude with perspectives on the comparative advantages and disadvantages of arithmetic coding.
dc.language.isoen_US
dc.publisherIEEE
dc.subjectData compression
dc.subjectArithmetic coding
dc.subjectLossless compression
dc.subjectText modeling
dc.subjectImage compression
dc.subjectText compression
dc.subjectAdaptive
dc.subjectSemi-adpative
dc.titleArithmetic Coding for Data Compression
dc.typeArticle
kusw.kuauthorVitter, Jeffery Scott
kusw.oastatusfullparticipation
dc.identifier.doi10.1109/5.286189
kusw.oaversionScholarly/refereed, author accepted manuscript
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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