Arithmetic coding for data compression
Ian H. WittenDept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4Radford M. NealDept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4John G. ClearyDept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4
1987en
ABI
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.
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