DocumentCode
3066184
Title
Maximum likelihood decoding with reduced complexity
Author
Dumer, Ilya
Author_Institution
Coll. of Eng., California Univ., Riverside, CA, USA
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
396
Abstract
We design maximum-likelihood (ML) decoding, whose complexity has exponential order qnR(1-R)(1+R)/ for virtually all linear q-ary codes of length n and rate R used over any memoryless channel. This exponent reduces up to 3 times the known complexity exponent qn min(R, 1-R) of ML decoding
Keywords
channel capacity; computational complexity; linear codes; maximum likelihood decoding; memoryless systems; ML decoding; code length; code rate; complexity exponent; exponential order complexity; linear q-ary codes; maximum likelihood decoding; memoryless channel; reduced complexity; Algorithm design and analysis; Design engineering; Educational institutions; Error probability; Linear code; Maximum likelihood decoding; Memoryless systems; Upper bound;
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.1997.613333
Filename
613333
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