Jump to content

Linear programming decoding

Add links
From Wikipedia, the free encyclopedia

This is an old revision of this page, as edited by Marcocapelle (talk | contribs) at 21:18, 8 February 2018 (removed grandparent category of Category:Linear programming). 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.


Stub icon

This applied mathematics-related article is a stub. You can help Wikipedia by expanding it.

Retrieved from "https://en.wikipedia.org/w/index.php?title=Linear_programming_decoding&oldid=824684077"