Arithmetic coding for data compression

  • Ian H. Witten
    Dept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4
  • Radford M. Neal
    Dept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4
  • John G. Cleary
    Dept. of Computer Science, The University of Calgary, 2500 University Drive NW, Calgary, Canada T2N 1N4

Abstract

<jats:p>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.</jats:p>

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