DocumentCode
761752
Title
Generation of matrices for determining minimum distance and decoding of cyclic codes
Author
Shen, K.K. ; Wang, C. ; Tzeng, K.K. ; Shen, B.-Z.
Author_Institution
Dept. of Comput. Sci. & Electr. Eng., Lehigh Univ., Bethlehem, PA, USA
Volume
42
Issue
2
fYear
1996
fDate
3/1/1996 12:00:00 AM
Firstpage
653
Lastpage
657
Abstract
A simple method based on Newton´s identities and their extensions is presented for determining the actual minimum distance of cyclic codes. More significantly, it is shown that this method also provides a mechanism for generating the type of syndrome matrices needed by Feng and Tzeng´s (see ibid., vol.40, p.1364-1374, Sept. 1994) new procedure for decoding cyclic and BCH codes up to their actual minimum distance. Two procedures for generating such matrices are given. With these procedures, we have generated syndrome matrices having only one class of conjugate syndromes on the minor diagonal for all binary cyclic codes of length n<63 and many codes of length 63⩽n⩽99. A listing of such syndrome matrices for selected codes of length n<63 is included. An interesting connection of the method presented to the shifting technique of van Lint (1986) and Wilson is also noted
Keywords
Newton method; cyclic codes; decoding; matrix algebra; BCH codes; Newton´s identities; binary cyclic codes; code length; conjugate syndromes; cyclic codes decoding; matrices generation; minimum distance; minor diagonal; shifting technique; syndrome matrices; Decoding; Error correction codes; Information theory; Polynomials; Student members; Terrorism;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.485738
Filename
485738
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