• DocumentCode
    1950395
  • Title

    The minimax redundancy is a lower bound for most sources

  • Author

    Merhav, Neri ; Feder, Meir

  • Author_Institution
    Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
  • fYear
    1994
  • fDate
    29-31 Mar 1994
  • Firstpage
    52
  • Lastpage
    61
  • Abstract
    The capacity of the channel induced by a given class of sources is well known to be an attainable lower bound on the redundancy of universal codes w.r.t this class, both in the minimax sense and in the Bayesian (maximin) sense. The authors main contribution is a relatively simple proof that the capacity is essentially a lower bound also in a stronger sense, that is, for “most” sources in the class. This result extends Rissanen´s (1984) lower bound for parametric families. Finally, the authors demonstrate the applicability of this result in several examples
  • Keywords
    channel capacity; encoding; minimax techniques; redundancy; Bayesian sense; channel capacity; lower bound; maximin sense; minimax redundancy; parametric families; universal codes; Bayesian methods; Capacity planning; Channel capacity; Data compression; Entropy; Minimax techniques; Probability distribution; Q measurement; Random variables; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1994. DCC '94. Proceedings
  • Conference_Location
    Snowbird, UT
  • Print_ISBN
    0-8186-5637-9
  • Type

    conf

  • DOI
    10.1109/DCC.1994.305912
  • Filename
    305912