Using Linear Programming to Decode Binary Linear Codes
Published in IEEE Transactions on Information Theory • Feb 28, 2005
NobleIDNI7P85W52R28S24
Authors:,,
Jon Feldman
Martin J. Wainwright
David R. Karger
Abstract
A new method is given for performing approximate maximum-likelihood (ML) decoding of an arbitrary binary linear code based on observations received from any discrete memoryless symmetric channel. The decoding algorithm is based on a linear programming (LP) relaxation that is defined by a factor grap...
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