inria-00628996, version 2
Maximum Likelihood BSC Parameter Estimation for the Slepian-Wolf Problem
Velotiaray Toto-Zarasoa
a, 1Aline Roumy 1Christine Guillemot a, 1
IEEE Communications Letters 15, 2 (2011)
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.
- a – INRIA
- 1: TEMICS (INRIA - IRISA)
- CNRS : UMR6074 – INRIA – Université de Rennes 1
- Domain : Engineering Sciences/Signal and Image processing
Computer Science/Signal and Image Processing - Keywords : Source coding – channel coding – parameter estimation – binary sequences
- Available versions : v1 (2011-10-04) v2 (2011-10-18)
- inria-00628996, version 2
- http://hal.inria.fr/inria-00628996
- oai:hal.inria.fr:inria-00628996
- From: Aline Roumy
- Submitted on: Tuesday, 18 October 2011 14:58:27
- Updated on: Tuesday, 18 October 2011 14:59:36
Associated documents
Export