DocumentCode :
1522212
Title :
On the complexity of minimum distance decoding of long linear codes
Author :
Barg, Alexander ; Krouk, Evgueni ; Van Tilborg, Henk C A
Author_Institution :
Math. Sci. Res. Center, AT&T Bell Labs., Murray Hill, NJ, USA
Volume :
45
Issue :
5
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
1392
Lastpage :
1405
Abstract :
We suggest a decoding algorithm of q-ary linear codes, which we call supercode decoding. It ensures the error probability that approaches the error probability of minimum-distance decoding as the length of the code grows. For n→∞ the algorithm has the maximum-likelihood performance. The asymptotic complexity of supercode decoding is exponentially smaller than the complexity of all other methods known. The algorithm develops the ideas of covering-set decoding and split syndrome decoding
Keywords :
computational complexity; error statistics; linear codes; maximum likelihood decoding; set theory; asymptotic complexity; code length; covering-set decoding; decoding algorithm; error probability; long linear codes; maximum-likelihood performance; minimum distance decoding complexity; q-ary linear codes; split syndrome decoding; supercode decoding; Aerospace electronics; Aerospace materials; Circuits; Computational modeling; Error probability; Information theory; Linear code; Mathematics; Maximum likelihood decoding; Vectors;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.771141
Filename :
771141
Link To Document :
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