Asymptotic enumeration methods for analyzing LDPC codes

David Burshtein*, Gadi Miller

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

154 Scopus citations

Abstract

We show how asymptotic estimates of powers of polynomials with nonnegative coefficients can be used in the analysis of low-density parity-check (LDPC) codes. In particular, we show how these estimates can be used to derive the asymptotic distance spectrum of both regular and irregular LDPC code ensembles. We then consider the binary erasure channel (BEC). Using these estimates we derive lower bounds on the error exponent, under iterative decoding, of LDPC codes used over the BEC. Both regular and irregular code structures are considered. These bounds are compared to the corresponding bounds when optimal (maximum-likelihood (ML)) decoding is applied.

Original languageEnglish
Pages (from-to)1115-1131
Number of pages17
JournalIEEE Transactions on Information Theory
Volume50
Issue number6
DOIs
StatePublished - Jun 2004

Keywords

  • Binary erasure channel (BEC)
  • Code ensembles
  • Code spectrum
  • Iterative decoding
  • Low-density parity-check (LDPC) codes

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