DocumentCode
916865
Title
On maximum likelihood soft decoding of some binary self-dual codes
Author
Ran, Moshe ; Snyders, Jakov
Author_Institution
Dept. of Electr. Eng.-Syst., Tel-Aviv Univ., Ramat Aviv, Israel
Volume
41
Issue
3
fYear
1993
fDate
3/1/1993 12:00:00 AM
Firstpage
439
Lastpage
443
Abstract
Efficient algorithms are derived for maximum likelihood (ML) soft-decision decoding of some binary self-dual codes. A family of easily decodable self-dual codes is derived by modifying a known F24, which has a weight distribution resembling that of the [24, 12, 8] Golay code G24. The ML decoding of F24 is accomplished by only 227 real additions, compared to 651 required for G24, yet the error rates of the two decoders are similar for moderate noise conditions
Keywords
block codes; decoding; error correction codes; Golay code; binary self-dual codes; computational complexity; error rates; linear block code; maximum likelihood soft decoding; weight distribution; Block codes; Communications Society; Error analysis; Hamming weight; Maximum likelihood decoding; Parity check codes; Radio access networks; Reflection; Signal to noise ratio; Vectors;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.221070
Filename
221070
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