• DocumentCode
    1134188
  • Title

    Zero-redundancy coding for unequal code symbol costs

  • Author

    Abrahams, Julia ; Lipman, Marc J.

  • Author_Institution
    Office of Naval Res., Arlington, VA, USA
  • Volume
    38
  • Issue
    5
  • fYear
    1992
  • fDate
    9/1/1992 12:00:00 AM
  • Firstpage
    1583
  • Lastpage
    1586
  • Abstract
    Source distributions that can be encoded with zero redundancy for the case of unequal code symbol costs are examined. These distributions provide a natural generalization of the binary, equal costs case for which these distributions are the dyadic distributions. These zero redundancy codes have the property that the expected proportion of codeword symbols given by a particular letter is equal to an experimental function of the code letter cost. The converse is not true in general; however, partial converse results hold. Maximum-entropy zero-redundancy distributions are easily identified through their connection with unequal cost coding for uniform sources
  • Keywords
    encoding; entropy; redundancy; dyadic distributions; maximum entropy distributions; source coding; unequal code symbol costs; uniform sources; zero redundancy; Convergence; Cost function; Information theory; Inspection; Linear programming; Robustness; Smoothing methods; Source coding; Statistics; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.149512
  • Filename
    149512