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Author Witten, Ian H. ♦ Neal, Radford M. ♦ Cleary, John G.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract The state of the art in data compression is arithmetic coding, not the better-known Huffman method. Arithmetic coding gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Description Affiliation: Dept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4 (Witten, Ian H.; Neal, Radford M.; Cleary, John G.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 30
Issue Number 6
Page Count 21
Starting Page 520
Ending Page 540

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Source: ACM Digital Library