DocumentCode :
3274989
Title :
A maximum likelihood polynomial time syndrome decoder to correct linearly independent errors
Author :
Horn, Gavin B. ; Karp, Richard M.
Author_Institution :
Digital Fountain, Fremont, CA, USA
fYear :
2001
fDate :
2001
Firstpage :
87
Abstract :
It is shown for a linear code over F2L, defined by a binary parity matrix H, that the minimum weight error vector e associated with a syndrome s can be computed in polynomial time if the nonzero elements of the error vector are linearly independent over F2L
Keywords :
error correction; linear codes; maximum likelihood decoding; polynomials; binary parity matrix; error correction; linear code; linearly independent errors; maximum likelihood syndrome decoder; minimum weight error vector; polynomial time; Error correction; Error correction codes; Hamming weight; Helium; Linear code; Maximum likelihood decoding; Parity check codes; Polynomials; Symmetric matrices; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
Type :
conf
DOI :
10.1109/ISIT.2001.935950
Filename :
935950
Link To Document :
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