• DocumentCode
    2623057
  • Title

    Counting minimal generator matrices

  • Author

    Lumbard, Kim E. ; Mceliece, Robert J.

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    18
  • Abstract
    Given a particular convolutional code C, we wish to find all minimal generator matrices G(D) which represent that code. A standard form S(D) for a minimal matrix is defined, and then all standard forms for the code C are counted (this is equivalent to counting special pre-multiplication matrices P(D)). It is shown that all the minimal generator matrices G(D) are contained within the `ordered row permutations´ of these standard forms, and that all these permutations are distinct. Finally, the result is used to place a simple upper bound on the possible number of convolutional codes
  • Keywords
    convolutional codes; matrix algebra; convolutional code; minimal generator matrices; ordered row permutations; pre-multiplication matrices; standard forms; upper bound; Code standards; Convolutional codes; Frequency locked loops; Polynomials; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.394953
  • Filename
    394953