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Linear programming decoding

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This is an old revision of this page, as edited by Duoduoduo (talk | contribs) at 23:34, 14 September 2013 (spell out acronym once more). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

In information theory and coding theory, linear programming decoding (LP decoding) is a decoding method which uses concepts from linear programming (LP) theory to solve decoding problems. This approach was first used by Jon Feldman et al.[1] They showed how the LP can be used to decodes block codes.

The basic idea behind LP decoding is to first represent the maximum likelihood decoding of a linear code as an integer linear program, and then relax the integrality constraints on the variables into linear inequalities.

References

  1. ^ "Using linear programming to Decode Binary linear codes," J. Feldman, M.J. Wainwright and D.R. Karger, IEEE Transactions on Information Theory, 51:954–972, March 2005.


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