Efficient methods for bounding the fractional distance of LDPC codes and obtaining fundamental polytopes of nonbinary and generalized codes

David Burshtein, Idan Goldenberg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A method which obtains a tight lower bound on the fractional distance of LDPC codes is proposed. This algorithm exhibits complexity which scales quadratically with the block length, and thus less than currently-known methods. We also show how the fundamental LP polytope for generalized LDPC codes and nonbinary LDPC codes can be obtained.

Original languageEnglish
Title of host publication2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
Pages1263-1267
Number of pages5
DOIs
StatePublished - 2011
Event2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011 - St. Petersburg, Russian Federation
Duration: 31 Jul 20115 Aug 2011

Publication series

NameIEEE International Symposium on Information Theory - Proceedings

Conference

Conference2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
Country/TerritoryRussian Federation
CitySt. Petersburg
Period31/07/115/08/11

Keywords

  • Linear programming decoding
  • fractional distance
  • fundamental polytope
  • low-density parity-check (LDPC) codes

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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