• DocumentCode
    2944960
  • Title

    Epsilon-Capacity of a Class of Nonergodic Channels

  • Author

    Kieffer, John

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Minnesota Univ.
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    1268
  • Lastpage
    1271
  • Abstract
    We consider the nonergodic channel model obtained by averaging binary symmetric channel components with respect to a weighting distribution. For a fixed epsi isin (0,1), suppose one wishes to compute the e-capacity of the nonergodic channel model, which is the optimum asymptotic rate at which the channel can be encoded via a sequence of channel codes which each yield maximal probability of decoding error les epsi. In 1963, Parthasarathy provided a formula for epsi-capacity valid for all but at most countably many values of epsi. Parthasarathy´s formula fails at precisely those epsi values in (0,1) at which the epsi-capacity function undergoes a discontinuity. We present a formula for the epsi-capacity function which is valid at a discontinuity whenever the jump in the epsi-capacity function at that discontinuity is not too large
  • Keywords
    channel capacity; channel coding; probability; binary symmetric channel components; channel codes; decoding error; epsi-capacity function; maximal probability; nonergodic channel epsilon-capacity; optimum asymptotic rate; weighting distribution; Additive noise; Binary sequences; Capacity planning; Channel capacity; Decoding; Distributed computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.262029
  • Filename
    4036169