DocumentCode :
1384556
Title :
Reduced lists of error patterns for maximum likelihood soft decoding
Author :
Snyders, Jakov
Author_Institution :
Dept. of Electr. Eng. Syst., Tel-Aviv Univ., Ramat-Aviv, Israel
Volume :
37
Issue :
4
fYear :
1991
fDate :
7/1/1991 12:00:00 AM
Firstpage :
1194
Lastpage :
1200
Abstract :
A method whereby a substantially reduced family of error patterns, called survivors, may be created for maximum likelihood soft decoding is introduced. The family of survivor depends on the received word. A decoder based on this approach first forms the survivors, then scores them. Rather than obtaining the survivors by online elimination of error patterns, the use of predetermined lists that represent all families of survivors is proposed
Keywords :
coding errors; decoding; error patterns; maximum likelihood soft decoding; predetermined lists; survivors; Block codes; Computational complexity; Hamming weight; Information theory; Lattices; Maximum likelihood decoding; Maximum likelihood detection; Parallel processing; Sections; Sorting;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.86973
Filename :
86973
Link To Document :
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