• DocumentCode
    796374
  • Title

    An algorithm for identifying rate (n-1)/n catastrophic punctured convolutional encoders

  • Author

    Sun, Feng-Wen ; Vinck, Adrianus J.

  • Author_Institution
    Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
  • Volume
    42
  • Issue
    3
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    1010
  • Lastpage
    1013
  • Abstract
    It is known that both Viterbi and sequential decoding of convolutional codes can be greatly simplified by employing punctured convolutional codes, which are obtained by periodically deleting a part of the bits of a low-rate convolutional code. Even if the original low-rate convolutional code is noncatastrophic, some deleting maps may result in rate (n-1)/n catastrophic punctured encoders. An algorithm is presented to identify such encoders when the original rate 1/b encoder is antipodal. The major part of the algorithm solves a linear equation of /spl nu/+1 variables, where /spl nu/ is the constraint length of the original rate 1/b code.
  • Keywords
    Viterbi decoding; convolutional codes; sequential decoding; Viterbi decoding; algorithm; antipodal encoder; constraint length; deleting maps; linear equation; low-rate convolutional code; periodic deletion; rate (n-1)/n catastrophic punctured convolutional encoders; rate 1/b encoder; sequential decoding; Computer errors; Convolutional codes; Decoding; Equations; Information theory; Mathematics; Polynomials; Sun; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.490567
  • Filename
    490567