• DocumentCode
    3841309
  • Title

    On the Redundancy of Slepian–Wolf Coding

  • Author

    Da-ke He;Luis A. Lastras-Montano;En-hui Yang;Ashish Jagmohan;Jun Chen

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    55
  • Issue
    12
  • fYear
    2009
  • Firstpage
    5607
  • Lastpage
    5627
  • Abstract
    In this paper, the redundancy of both variable and fixed rate Slepian-Wolf coding is considered. Given any jointly memoryless source-side information pair {(Xi, Yi)}i=1 infin with finite alphabet, the redundancy Rn(isinn) of variable rate Slepian-Wolf coding of X1 n with decoder only side information Y1 n depends on both the block length n and the decoding block error probability isinn, and is defined as the difference between the minimum average compression rate of order n variable rate Slepian-Wolf codes having the decoding block error probability less than or equal to isinn, and the conditional entropy H(X|Y), where H(X|Y) is the conditional entropy rate of the source given the side information. The redundancy of fixed rate Slepian-Wolf coding of X1 n with decoder only side information Y1 n is defined similarly and denoted by RF n(isinn). It is proved that under mild assumptions about isinn, Rn(isinn) = dvradic-log isinn/n + (oradic-log isinn/n) and RF n(isinn) - dfradic-log isinn/n + o(radic-log isinn/n), where df and dnu are two constants completely determined by the joint distribution of the source-side information pair. Since dv is generally smaller than df, our results show that variable rate Slepian-Wolf coding is indeed more efficient than fixed rate Slepian-Wolf coding.
  • Keywords
    "Decoding","Redundancy","Error probability","Source coding","Information theory","Entropy","Data compression","Random variables","Councils"
  • Journal_Title
    IEEE Transactions on Information Theory
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2009.2032803
  • Filename
    5319764