DocumentCode
2086635
Title
Information-set soft-decision decoding
Author
Dumer, Ilya
Author_Institution
Coll. of Eng., California Univ., Riverside, CA, USA
fYear
1998
fDate
22-26 Jun 1998
Firstpage
77
Lastpage
78
Abstract
Information-set decoding is considered for soft decision channels. The sets of most plausible error patterns are represented as ellipsoids in Hamming spaces, and their minimum coverings are designed by random search. For general linear codes, maximum likelihood decoding with the lowest known complexity is obtained
Keywords
binary codes; coding errors; computational complexity; linear codes; maximum likelihood decoding; random processes; search problems; set theory; Hamming spaces; binary linear code; complexity; ellipsoids; error patterns; general linear codes; information-set soft-decision decoding; maximum likelihood decoding; minimum coverings; minimum distance decoding; random search; soft decision channels; Educational institutions; Ellipsoids; Entropy; Equations; Error correction; Linear code; Maximum likelihood decoding; Testing; Upper bound; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 1998
Conference_Location
Killarney
Print_ISBN
0-7803-4408-1
Type
conf
DOI
10.1109/ITW.1998.706443
Filename
706443
Link To Document