NobleBlocks
Public

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...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!