DocumentCode :
1312875
Title :
Joint Source and Channel Coding
Author :
Fresia, Maria ; Pérez, Fernando ; Poor, H. Vincent ; Verdú, Sergio
Volume :
27
Issue :
6
fYear :
2010
Firstpage :
104
Lastpage :
113
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.
Keywords :
combined source-channel coding; parity check codes; variable length codes; JSC coding; LDPC code; Slepian-Wolf problem; belief propagation; decoding; encoding; graphical model; joint source channel coding; low density parity check code; variable length codes; Channel coding; Decoding; Encoding; Hidden Markov models; Iterative decoding; Markov processes;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2010.938080
Filename :
5563107
Link To Document :
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