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
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