Computer Science – Information Theory
Scientific paper
2006-01-23
Computer Science
Information Theory
5 pages, 4 figures. Submitted to the IEEE International Symposium on Information Theory (ISIT) 2006
Scientific paper
Detectability of failures of linear programming (LP) decoding and its potential for improvement by adding new constraints motivate the use of an adaptive approach in selecting the constraints for the LP problem. In this paper, we make a first step in studying this method, and show that it can significantly reduce the complexity of the problem, which was originally exponential in the maximum check-node degree. We further show that adaptively adding new constraints, e.g. by combining parity checks, can provide large gains in the performance.
Siegel Paul H.
Taghavi Mohammad H. N.
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