• DocumentCode
    1451657
  • Title

    Universal Coding on Infinite Alphabets: Exponentially Decreasing Envelopes

  • Author

    Bontemps, Dominique

  • Author_Institution
    Lab. de Math. d´´Orsay, Univ. Paris-Sud, Orsay, France
  • Volume
    57
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    1466
  • Lastpage
    1478
  • Abstract
    This paper deals with the problem of universal lossless coding on a countable infinite alphabet. It focuses on some classes of sources defined by an envelope condition on the marginal distribution, namely exponentially decreasing envelope classes with exponent . The minimax redundancy of exponentially decreasing envelope classes is proved to be equivalent to . Then, an adaptive algorithm is proposed, whose maximum redundancy is equivalent to the minimax redundancy.
  • Keywords
    data compression; encoding; minimax techniques; redundancy; countable infinite alphabet; envelope condition; exponentially decreasing envelope; marginal distribution; minimax redundancy; universal lossless coding; Data compression; Encoding; Entropy; Measurement; Probability distribution; Redundancy; Upper bound; Adaptive compression; Bayes mixture; data compression; infinite countable alphabets; redundancy; universal coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2010.2103831
  • Filename
    5714243