Correlation parameter estimation for LDPC-based slepian-wolf coding

Yong Fang, Jechang Jeong

Research output: Contribution to journalArticle

12 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)37-39
Number of pages3
JournalIEEE Communications Letters
Volume13
Issue number1
DOIs
StatePublished - 2009 Feb 12

Fingerprint

Parameter estimation
Parity
Parameter Estimation
Coding
Crossover
Log-likelihood Ratio
Low-density Parity-check (LDPC) Codes
Side Information
Binary
Verify
Simulation

Keywords

  • Distributed Source Coding (DSC)
  • LDPC
  • Parameter Estimation
  • Slepian-WolfCoding (SWC)

Cite this

@article{7465984192ab4efd833dce0974a64d56,
title = "Correlation parameter estimation for LDPC-based slepian-wolf coding",
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 = "Distributed Source Coding (DSC), LDPC, Parameter Estimation, Slepian-WolfCoding (SWC)",
author = "Yong Fang and Jechang Jeong",
year = "2009",
month = "2",
day = "12",
doi = "10.1109/LCOMM.2009.081247",
language = "English",
volume = "13",
pages = "37--39",
journal = "IEEE Communications Letters",
issn = "1089-7798",
number = "1",

}

Correlation parameter estimation for LDPC-based slepian-wolf coding. / Fang, Yong; Jeong, Jechang.

In: IEEE Communications Letters, Vol. 13, No. 1, 12.02.2009, p. 37-39.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Correlation parameter estimation for LDPC-based slepian-wolf coding

AU - Fang, Yong

AU - Jeong, Jechang

PY - 2009/2/12

Y1 - 2009/2/12

N2 - 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.

AB - 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.

KW - Distributed Source Coding (DSC)

KW - LDPC

KW - Parameter Estimation

KW - Slepian-WolfCoding (SWC)

UR - http://www.scopus.com/inward/record.url?scp=59649093013&partnerID=8YFLogxK

U2 - 10.1109/LCOMM.2009.081247

DO - 10.1109/LCOMM.2009.081247

M3 - Article

AN - SCOPUS:59649093013

VL - 13

SP - 37

EP - 39

JO - IEEE Communications Letters

JF - IEEE Communications Letters

SN - 1089-7798

IS - 1

ER -