Skip to Main content Skip to Navigation
Journal articles

Maximum Likelihood BSC Parameter Estimation for the Slepian-Wolf Problem

Velotiaray Toto-Zarasoa 1 Aline Roumy 1 Christine Guillemot 1
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : In the context of Distributed Source Coding, we propose a low complexity algorithm for the estimation of the cross-over probability p of the Binary Symmetric Channel (BSC) modeling the correlation between two binary sources. The coding is done with linear block codes. We propose a novel method to estimate p prior to decoding and show that it is the Maximum Likelihood estimator of p with respect to the syndromes of the correlated sources. The method can be utilized for the parameter estimation for channel coding of binary sources over the BSC.
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/inria-00628996
Contributor : Aline Roumy <>
Submitted on : Tuesday, October 18, 2011 - 2:58:27 PM
Last modification on : Wednesday, June 16, 2021 - 3:41:03 AM
Long-term archiving on: : Thursday, January 19, 2012 - 2:25:41 AM

File

11Comm_Letter_TRG.pdf
Files produced by the author(s)

Identifiers

Citation

Velotiaray Toto-Zarasoa, Aline Roumy, Christine Guillemot. Maximum Likelihood BSC Parameter Estimation for the Slepian-Wolf Problem. IEEE Communications Letters, Institute of Electrical and Electronics Engineers, 2011, 15 (2), ⟨10.1109/LCOMM.2011.122810.102182⟩. ⟨inria-00628996v2⟩

Share

Metrics

Record views

531

Files downloads

398