• DocumentCode
    3042583
  • Title

    Variable-to-fixed length codes for predictable sources

  • Author

    Savari, Serap A.

  • Author_Institution
    AT&T Bell Labs., Murray Hill, NJ, USA
  • fYear
    1998
  • fDate
    30 Mar-1 Apr 1998
  • Firstpage
    481
  • Lastpage
    490
  • Abstract
    A number of papers have investigated the compression obtained by some well-known lossless data compression algorithms in the limit as the dictionary size approaches infinity. Using a very detailed analysis of the Tunstall (1967) code as an example, we demonstrate that asymptotic analyses can fail to provide the performance of an algorithm in the important case of a predictable source with a small to moderate dictionary size
  • Keywords
    source coding; variable length codes; Tunstall code; asymptotic analysis; dictionary size limit; lossless data compression algorithms; predictable sources; redundancy analysis; variable-to-fixed length codes; Algorithm design and analysis; Binary codes; Data compression; Decoding; Dictionaries; Entropy; Failure analysis; Paper technology; Performance analysis; Performance loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1998. DCC '98. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-8406-2
  • Type

    conf

  • DOI
    10.1109/DCC.1998.672213
  • Filename
    672213