• DocumentCode
    1522580
  • Title

    Variable-to-fixed length codes and the conservation of entropy

  • Author

    Savari, Serap A.

  • Author_Institution
    Comput. Principles Res. Dept., AT&T Bell Labs., Murray Hill, NJ, USA
  • Volume
    45
  • Issue
    5
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    1612
  • Lastpage
    1620
  • Abstract
    For a large class of parsing rules, we introduce a “conservation of entropy” theorem for the output of a unifilar Markov source. Using this theorem and renewal theory, we find a procedure to generate asymptotically optimal generalized variable-to-fixed length codes
  • Keywords
    Markov processes; entropy; variable length codes; asymptotically optimal generalized variable-to-fixed length codes; conservation; fixed length codes; parsing rules; renewal theory; unifilar Markov source; variable-length codes; Data compression; Dictionaries; Entropy; Information theory; Laboratories; Materials science and technology; Probability; Source coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.771231
  • Filename
    771231
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1522580