Distance Distributions in Ensembles of Irregular Low-Density Parity-Check Codes

Simon Litsyn, Vladimir Shevelev

Research output: Contribution to journalArticlepeer-review

72 Scopus citations

Abstract

The estimation of the average distance distribution in ensembles of irregular low-density parity-check (LDPC) codes was discussed using asymptotic expressions. The derivation defined the considered ensemble of irregular codes and the average distance distribution. The number of matrices belonging to the ensemble of special shape were counted. The defined codes contained the word with on the first ω positions and zero on the remaining positions. A discussion on the number of solutions to a system of equation appearing in the optimization problem was also presented.

Original languageEnglish
Pages (from-to)3140-3159+3353
JournalIEEE Transactions on Information Theory
Volume49
Issue number12
DOIs
StatePublished - 1 Dec 2003

Keywords

  • Distance distributions
  • Low-density parity-check (LDPC) codes

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'Distance Distributions in Ensembles of Irregular Low-Density Parity-Check Codes'. Together they form a unique fingerprint.

Cite this