• DocumentCode
    3410505
  • Title

    An empirical evaluation of coding methods for multi-symbol alphabets

  • Author

    Moffat, Alistair ; Sharman, Neil ; Witten, I.H. ; Bell, T.C.

  • Author_Institution
    Dept. Comput. Sci., Melbourne Univ., Vic., Australia
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    108
  • Lastpage
    117
  • Abstract
    The authors examine the resource requirements and compression efficiency of the coding phase, concentrating on applications with medium and large alphabets. When semi-static two-pass encoding can be used, Huffman coding is two to four times faster than arithmetic coding, and sometimes results in superior compression. When an adaptive coder is required the difference in speed is smaller, but Gallager´s implementation of dynamic Huffman coding is still faster than arithmetic coding in most situations. The compression loss through the use of Huffman codes is negligible in all but extreme circumstances. Where very high speed is necessary splay coding is also worth considering, although it yields poorer compression
  • Keywords
    Huffman codes; data compression; Huffman coding; arithmetic coding; compression efficiency; multi-symbol alphabets; resource requirements; splay coding; Arithmetic; Binary codes; Character generation; Computer science; Context modeling; Data compression; Encoding; Entropy; Huffman coding; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1993. DCC '93.
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-3392-1
  • Type

    conf

  • DOI
    10.1109/DCC.1993.253139
  • Filename
    253139