• DocumentCode
    1241342
  • Title

    Graph capacities and zero-error transmission over compound channels

  • Author

    Nayak, Jayanth ; Rose, Kenneth

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA, USA
  • Volume
    51
  • Issue
    12
  • fYear
    2005
  • Firstpage
    4374
  • Lastpage
    4378
  • Abstract
    This correspondence investigates the behavior of the compound channel under a zero-error constraint. We derive expressions for the capacity when a) neither the encoder nor decoder has side-information about the channel; b) when only the encoder has such side-information. These expressions are given in terms of capacities of appropriately defined sets of graphs. We clarify that an earlier treatment of the zero-error capacity of a compound channel corresponds to the case where the decoder has side-information about the channel. We also characterize the minimum asymptotic rate for the source coding dual of the compound channel problem, namely, source coding with compound side information. Finally, we contrast the zero-error and asymptotically vanishing error capacities of the compound channel.
  • Keywords
    channel capacity; combined source-channel coding; decoding; error statistics; graph theory; Sperner capacity; Witsenhausen rate; compound channel; graph capacity; minimum asymptotic rate; side-information decoder; source coding; zero-error transmission; Capacity planning; Channel capacity; Combinatorial mathematics; Decoding; Information theory; Materials science and technology; Memoryless systems; Monte Carlo methods; Source coding; Upper bound; Compound channel; Sperner capacity; Witsenhausen rate; graphs; side-information; zero-error;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2005.858987
  • Filename
    1542431