Title :
Correlation parameter estimation for LDPC-based slepian-wolf coding
Author :
Fang, Yong ; Jeong, Jechang
Author_Institution :
Lab. of ICSP, Hanyang Univ., Seoul
fDate :
1/1/2009 12:00:00 AM
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.;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.081247
