Title :
Counting minimal generator matrices
Author :
Lumbard, Kim E. ; Mceliece, Robert J.
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
fDate :
27 Jun-1 Jul 1994
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;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394953