DocumentCode :
2906704
Title :
Numerical Comparison of IP Formulations as ML Decoders
Author :
Tanatmis, Akin ; Ruzika, Stefan ; Punekar, Mayur ; Kienle, Frank
Author_Institution :
Dept. of Math., Univ. of Kaiserslautern, Kaiserslautern, Germany
fYear :
2010
fDate :
23-27 May 2010
Firstpage :
1
Lastpage :
5
Abstract :
For binary linear codes with short and medium block length ML decoding can be achieved by solving the associated integer programming (IP) problem with a general purpose solver. IP also offers algorithms for computing the minimum distance. In this article, we present several IP formulations and computationally compare them on various LDPC and BCH codes. Most of these formulations are obtained by forcing integrality on linear programming (LP) decoding formulations proposed in the literature.
Keywords :
BCH codes; binary codes; integer programming; linear codes; linear programming; maximum likelihood decoding; parity check codes; BCH codes; IP formulations; LDPC codes; binary linear codes; block length ML decoding; integer programming problem; linear programming decoding formulations; Bipartite graph; Communications Society; Kernel; Linear code; Linear programming; Mathematics; Maximum likelihood decoding; Microelectronics; Parity check codes; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
ISSN :
1550-3607
Print_ISBN :
978-1-4244-6402-9
Type :
conf
DOI :
10.1109/ICC.2010.5502303
Filename :
5502303
Link To Document :
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