DocumentCode :
3047767
Title :
Trellis-canonical generator matrices for convolutional codes
Author :
Lin, Wei ; Mceliece, Robert J. ; Xu, Meina
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fYear :
1997
fDate :
29 Jun-4 Jul 1997
Firstpage :
286
Abstract :
It was asserted in McEliece without proof, that a canonical generator matrix G(D) is trellis-canonical if and only if G(D) has the property that the span-length of the corresponding scalar matrix “G¯” cannot be reduced by a row operation of the form Row[m]=Row[n]Ds+Row[m], where s is an integer in the range 0⩽s⩽L and m≠n. In this paper, we prove a stronger result, viz., a basic PGM is trellis-canonical if and only if it is “row-reduced”. An efficient algorithm for converting a basic PGM into a trellis-canonical PGM is presented. We also correct an error in the general algorithm given in Lin and McEliece (1995)
Keywords :
convolutional codes; matrix algebra; trellis codes; convolutional codes; general algorithm; row operation; row-reduced PGM; scalar matrix; span-length; trellis-canonical PGM; trellis-canonical generator matrices; Bifurcation; Convolutional codes; Error correction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
Type :
conf
DOI :
10.1109/ISIT.1997.613207
Filename :
613207
Link To Document :
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