DocumentCode :
57839
Title :
Distributed Joint Source and Channel Coding with Low-Density Parity-Check Codes
Author :
Feng Cen
Author_Institution :
Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
Volume :
17
Issue :
12
fYear :
2013
fDate :
Dec-13
Firstpage :
2336
Lastpage :
2339
Abstract :
Low-density parity-check (LDPC) codes with the parity-based approach for distributed joint source channel coding (DJSCC) with decoder side information is described in this letter. The parity-based approach is theoretical limit achievable. Different edge degree distributions are used for source variable nodes and parity variable nodes. Particularly, the codeword-averaged density evolution (CADE) is presented for asymmetrically correlated nonuniform sources over the asymmetric memoryless transmission channel. Extensive simulations show that the splitting of variable nodes can improve the coding efficiency of suboptimal codes and lower the error floor.
Keywords :
channel coding; codecs; parity check codes; source coding; CADE; DJSCC; LDPC codes; asymmetric memoryless transmission channel; codeword-averaged density evolution; coding efficiency; decoder side information; distributed joint source-channel coding; edge degree distributions; low-density parity-check codes; parity variable nodes; parity-based approach; source variable nodes; suboptimal codes; theoretical limit; variable nodes; Channel coding; Correlation; Decoding; Joints; Parity check codes; Source coding; Distributed joint source-channel coding; density evolution; distributed source coding; low-density parity-check codes; nonuniform sources;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2013.101613.131616
Filename :
6636135
Link To Document :
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