• DocumentCode
    2057561
  • Title

    A new source-splitting approach to the slepian-wolf problem

  • Author

    Coleman, T. ; Lee, Albert ; Medard, M. ; Effros, M.

  • Author_Institution
    Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA
  • fYear
    2004
  • fDate
    June 27 2004-July 2 2004
  • Firstpage
    332
  • Lastpage
    332
  • Abstract
    It is shown that achieving an arbitrary rate-point in the achievable region of the M-source Slepian-Wolf (Ref.1) problem may be reduced via a practical source-splitting transformation to achieving a corner point in a 2M-1 source Slepian-Wolf problem. Moreover, each source must be split at most once. This approach extends the ideas introduced in (B. Rimoldi et al., 1997) to a practical setting: it does not require common randomness shared between splitters and the decoders, the cardinality of each source split is strictly smaller than the original, and practical iterative decoding methods can achieve rates near the theoretical bound
  • Keywords
    iterative decoding; sequences; Slepian-Wolf problem; arbitrary rate-point; iterative decoding methods; source-splitting approach; Data compression; Entropy; Error analysis; Iterative decoding; Laboratories; Pipelines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365369
  • Filename
    1365369