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