• DocumentCode
    873252
  • Title

    Weak variable-length Slepian-Wolf coding with linked encoders for mixed sources

  • Author

    Kimura, Akisato ; Uyematsu, Tomohiko

  • Author_Institution
    Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan
  • Volume
    50
  • Issue
    1
  • fYear
    2004
  • Firstpage
    183
  • Lastpage
    193
  • Abstract
    Coding problems for correlated information sources were first investigated by Slepian and Wolf. They considered the data compression system, called the SW system, where two sequences emitted from correlated sources are separately encoded to codewords, and sent to a single decoder which has to output the original sequence pairs with a small probability or error. In this paper, we investigate the coding problem of a modified SW system allowing two encoders to communicate with zero rate. First, we consider the fixed-length coding and clarify that the admissible rate region for general sources is equal to that of the original SW system. Next, we investigate the variable-length coding having the asymptotically vanishing probability of error. We clarify the admissible rate region for mixed sources characterized by two ergodic sources and show that this region is strictly wider than that for fixed-length codes. Further, we investigate the universal coding problem for memoryless sources in the system and show that the SW system with linked encoders has much more flexibility than the original SW system.
  • Keywords
    error statistics; memoryless systems; source coding; statistical distributions; variable length codes; Slepian-Wolf coding; admissible rate region; asymptotically vanishing error probability; data compression system; ergodic sources; fixed-length coding; linked encoders; memoryless sources; mixed sources; modified SW system; universal coding problem; weak variable-length coding; zero rate encoders; Entropy; Exponential distribution; Mutual information; Notice of Violation; Pareto analysis; Random variables; Shape; Statistical distributions; Stochastic processes; Weibull distribution;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2003.821968
  • Filename
    1262627