• DocumentCode
    955085
  • Title

    Exponential error bounds for coding through noisy channels with inaccurately known statistics and for generalized decision rules

  • Author

    Kazakos, Demetrios ; Cooper, A. Brinton, III

  • Author_Institution
    Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
  • Volume
    41
  • Issue
    9
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    1329
  • Lastpage
    1334
  • Abstract
    Generalized decoding decision rules provide added flexibility in a decoding scheme, and some advantages. In a generalized decoding decision rule, the following possibilities are considered: (1) the decoder has the option of not deciding at all, or rejecting all estimates. This is termed an erasure; (2) the decoder has the option of putting out more than one estimate. The resulting output is called a list. Only if the correct codeword is not on the list is there a list error. Taking into account the lack of exact knowledge of the channel statistics and assuming a mismatch between the true channel transition probabilities and the nominal probabilities used in the decoding metric, error bounds are developed for generalized decision rules. Conditions under which the error probabilities converge to zero exponentially with the block length, in spite of the presence of mismatch, are established
  • Keywords
    coding errors; decision theory; decoding; telecommunication channels; block length; channel transition probabilities; codeword; coding; decoding; erasure; estimates; exponential error bounds; generalized decision rules; list; mismatch; noisy channels; statistics; Block codes; Capacity planning; Channel capacity; Communication channels; Decoding; Error analysis; Error correction codes; Error probability; Information theory; Statistics;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.237851
  • Filename
    237851