• DocumentCode
    985452
  • Title

    Kraft Inequality and Zero-Error Source Coding With Decoder Side Information

  • Author

    Tuncel, Ertem

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Riverside, CA
  • Volume
    53
  • Issue
    12
  • fYear
    2007
  • Firstpage
    4810
  • Lastpage
    4816
  • Abstract
    For certain source coding problems, it is well known that the Kraft inequality provides a simple sufficient condition for the existence of codes with given codeword lengths. Motivated by this fact, a sufficient condition based on the Kraft inequality can also be sought for the problem of zero-error instantaneous coding with decoder side information. More specifically, it can be envisioned that a sufficient condition for the existence of such codes with codeword lengths {l x} is that for some 0<alphales<1 SigmaxepsivFscr (2-l x)lesalpha for each clique Fscr in the characteristic graph G of the source-side information pair. In this correspondence, it is shown that (1) if the above is indeed a sufficient condition for a class G of graphs, then it is possible to come as close as 1-log2 alpha bits to the asymptotic limits for each graph in G, (2) there exist graph classes of interest for which such a can indeed be found, and finally (3) no such n can be found for the class of all graphs.
  • Keywords
    decoding; graph theory; source coding; Kraft inequality; decoder side information; zero-error instantaneous coding; zero-error source coding; Application software; Bibliographies; Decoding; Entropy; Random number generation; Rivers; Source coding; Statistics; Sufficient conditions; Thermodynamics; Clique entropy; Kraft inequality; confusability graph; rectangle packing; redundancy; side information; zero-error;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2007.909161
  • Filename
    4385789