• DocumentCode
    2054338
  • Title

    Efficient APP decoding of nonsystematic encoded block codes

  • Author

    Griesser, Helmut ; Sidorenko, Vladimir

  • Author_Institution
    Dept. of Telecommun. & Appl. Inf. Theor., Ulm Univ., Germany
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    145
  • Abstract
    We consider the problem of trellis-based symbol-by-symbol a posteriori probability (APP) decoding of information symbols of nonsystematic encoded block codes. The well known BCJR algorithm for efficient APP decoding is not able to solve the problem if it runs on the minimal code trellis of the block code. We introduce an extended trellis representation for block codes by inserting systematic symbols into the code. This enables the application of the BCJR algorithm as well as trellis based decoding in the dual code space. Complexity properties of the extended trellis are investigated.
  • Keywords
    block codes; computational complexity; decoding; linear codes; probability; trellis codes; APP decoding; BCJR algorithm; a posteriori probability decoding; complexity properties; dual code space; extended trellis representation; linear code; nonsystematic encoded block codes; symbol-by-symbol decoding; systematic symbols; trellis based decoding; Block codes; Coordinate measuring machines; Decoding; Information theory; Labeling; Linear code; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7501-7
  • Type

    conf

  • DOI
    10.1109/ISIT.2002.1023417
  • Filename
    1023417