Correlation parameter estimation for LDPC-based slepian-wolf coding

Author

Fang, Yong ; Jeong, Jechang

Author_Institution

Lab. of ICSP, Hanyang Univ., Seoul

Volume

13

Issue

1

fYear

2009

fDate

1/1/2009 12:00:00 AM

Firstpage

37

Lastpage

39

Abstract

Currently, many practical SWC systems are implemented using the low-density parity-check (LDPC) codes in which the virtual correlation channel between source and side information is modeled as a binary symmetric channel (BSC) characterized by the crossover probability. This paper is contributed to the estimation of crossover probability through the probability mass function (PMF) of the magnitudes of loglikelihood ratio (LLR) messages. Simulation results are given to verify our proposed method.

Keywords

parameter estimation; parity check codes; LDPC; SWC systems; Slepian-Wolf coding; binary symmetric channel; crossover probability; loglikelihood ratio messages; low-density parity-check codes; parameter estimation; probability mass function; virtual correlation channel; Arithmetic; Convergence; Entropy coding; Iterative decoding; Parameter estimation; Parity check codes; Predictive coding; Random processes; Source coding; Turbo codes; Distributed Source Coding (DSC), Slepian-WolfCoding (SWC), LDPC, Parameter Estimation.;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2009.081247

Filename

4753958