• DocumentCode
    923058
  • Title

    A proof of the data compression theorem of Slepian and Wolf for ergodic sources (Corresp.)

  • Author

    Cover, Thomas M.

  • Volume
    21
  • Issue
    2
  • fYear
    1975
  • fDate
    3/1/1975 12:00:00 AM
  • Firstpage
    226
  • Lastpage
    228
  • Abstract
    If {(X_i, Y_i)}_{i=1}^{\\infty } is a sequence of independent identically distributed discrete random pairs with (X_i, Y_i) ~ p(x,y) , Slepian and Wolf have shown that the X process and the Y process can be separately described to a common receiver at rates R_X and R_Y hits per symbol if R_X + R_Y > H(X,Y), R_X > H(X\\midY), R_Y > H(Y\\midX) . A simpler proof of this result will be given. As a consequence it is established that the Slepian-Wolf theorem is true without change for arbitrary ergodic processes {(X_i,Y_i)}_{i=1}^{\\infty } and countably infinite alphabets. The extension to an arbitrary number of processes is immediate.
  • Keywords
    Data compression; Source coding; Application software; Convolutional codes; Data compression; Decoding; Error correction; Frequency; Laboratories; Pattern recognition; Telephony; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1975.1055356
  • Filename
    1055356