DocumentCode :
2730471
Title :
Non-linear graph-based codes for joint source-channel coding
Author :
Matas, David ; Lamarca, Meritxell ; Garcia-Frias, Javier
Author_Institution :
Signal Theor. & Commun. Dept., Tech. Univ. of Catalonia, Barcelona, Spain
fYear :
2010
fDate :
6-10 Sept. 2010
Firstpage :
384
Lastpage :
388
Abstract :
We study the behavior of a new family of nonlinear graph-based codes, previously introduced for compression of asymmetric binary memoryless sources, for the joint source-channel coding scenario in which the codewords are transmitted through an additive white Gaussian noise channel. We focus on low entropy sources (with high redundancy) and compression rates. Monte Carlo simulation and density evolution results show that the proposed family, with a regular and simple parametrization of the degree profiles, outperforms linear codes.
Keywords :
AWGN channels; Monte Carlo methods; combined source-channel coding; Monte Carlo simulation; additive white Gaussian noise channel; asymmetric binary memoryless source; codeword; joint source channel coding; linear code; non linear graph based code;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on
Conference_Location :
Brest
Print_ISBN :
978-1-4244-6744-0
Electronic_ISBN :
978-1-4244-6745-7
Type :
conf
DOI :
10.1109/ISTC.2010.5613875
Filename :
5613875
Link To Document :
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