PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Joint Source and Channel Coding
Maria Fresia, Fernando Perez-Cruz, Vincent Poor and Sergio Verdu
IEEE Signal Processing Magazine Volume 27, Number 6, pp. 104-113, 2010. ISSN 1053-5888

Abstract

The objectives of this article are two-fold: First, to present the problem of joint source and channel (JSC) coding from a graphical model perspective and second, to propose a structure that uses a new graphical model for jointly encoding and decoding a redundant source. In the first part of the article, relevant contributions to JSC coding, ranging from the Slepian-Wolf problem to joint decoding of variable length codes with state-of-the-art source codes, are reviewed and summarized. In the second part, a double low-density parity-check (LDPC) code for JSC coding is proposed. The double LDPC code can be decoded as a single bipartite graph using standard belief propagation (BP) and its limiting performance is analyzed by using extrinsic information transfer (EXIT) chart approximations.

PDF - Requires Adobe Acrobat Reader or other PDF viewer.
EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:7544
Deposited By:Fernando Perez-Cruz
Deposited On:17 March 2011