DocumentCode :
2062156
Title :
Minimum basis search algorithm for nearly maximum likelihood decoding of block codes
Author :
Ben-Yishai, Michael ; Snyders, Jakov
Author_Institution :
Sch. of Electr. Eng., Tel Aviv Univ., Israel
fYear :
2004
fDate :
27 June-2 July 2004
Firstpage :
524
Abstract :
With any parity check matrix H of a code C(n,k,d) one may associate a graph whose vertices represent distinct bases, i.e., sets of n-k independent columns of H. Such basis specifies a unique error pattern. A search is carried out over a limited part of the bases graph for an error pattern having the minimum confidence value. Properties of the bases graph are utilized to reduce the complexity of the search procedure. Bounds are derived for the worst case computational complexity as well as for the correct-decoding probability.
Keywords :
block codes; computational complexity; graph theory; matrix algebra; maximum likelihood decoding; parity check codes; probability; bases graph; block codes; computational complexity; correct-decoding probability; error pattern; maximum likelihood decoding; minimum basis search algorithm; minimum confidence value; parity check matrix; Block codes; Computational complexity; Error correction; Iterative decoding; Maximum likelihood decoding; Maximum likelihood detection; Memoryless systems; Parity check codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
Type :
conf
DOI :
10.1109/ISIT.2004.1365559
Filename :
1365559
Link To Document :
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