• DocumentCode
    1421293
  • Title

    Renewal theory and source coding

  • Author

    Savari, Serap A.

  • Author_Institution
    Lucent Technol. Bell Labs., Murray Hill, NJ, USA
  • Volume
    88
  • Issue
    11
  • fYear
    2000
  • Firstpage
    1692
  • Lastpage
    1702
  • Abstract
    Renewal theory provides a wavy to derive fundamental results about source coding and is useful in the analysis and design of many lossless data compression algorithms. We consider two very different applications of renewal theory to source coding. The first one results in a variable-length counterpart to the asymptotic equipartition property for unifilar Markov sources. The second application leads to the first analysis of variable-to-fixed length codes with plurally parsable dictionaries.
  • Keywords
    Markov processes; data compression; source coding; variable length codes; asymptotic equipartition property; lossless data compression algorithms; plurally parsable dictionaries; renewal theory; source coding; unifilar Markov sources; variable-length counterpart; variable-to-fixed length codes; Algorithm design and analysis; Application software; Data compression; Dictionaries; Entropy; Industrial engineering; Operations research; Source coding; Steady-state; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/5.892705
  • Filename
    892705