• DocumentCode
    2942873
  • Title

    Codes and iterative decoding on general graphs

  • Author

    Wiberg, Niclas ; Loeliger, Hans-Andrea ; Kötter, Ralph

  • Author_Institution
    ISY, Linkoping Univ., Sweden
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    468
  • Abstract
    Until recently, most known decoding procedures for error-correcting codes were based either on algebraically calculating the error pattern or on some sort of tree or trellis search. With the advent of turbo coding, a third decoding principle has finally had its breakthrough: iterative decoding. With respect to Viterbi decoding, a code is most naturally described by means of a trellis diagram. The main thesis of the present paper is that, with respect to iterative decoding, the natural way of describing a code is by means of a Tanner graph, which may be viewed as a generalized trellis. More precisely, it is the “time axis” of a trellis that is generalized to a Tanner graph
  • Keywords
    Markov processes; Viterbi decoding; error correction codes; graph theory; iterative methods; random processes; trellis codes; BCJR decoding; Markov random fields; Tanner graph; Viterbi decoding; complexity reduction; error-correcting codes; general graphs; generalized trellis; iterative decoding; low-density parity-check codes; trellis diagram; turbo coding; Error correction codes; Iterative algorithms; Iterative decoding; Linear code; Markov random fields; Parity check codes; Probability; State-space methods; Turbo codes; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.550455
  • Filename
    550455