Codeword averaged density evolution for distributed joint source and channel coding with decoder side information

The authors consider applying the systematic low-density parity-check codes with the parity based approach to the lossless (or near lossless) distributed joint source channel coding (DJSCC) with the decoder side information for the non-uniform sources over the asymmetric memoryless transmission chan...

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Bibliographic Details
Published in:IET communications Vol. 8; no. 8; pp. 1325 - 1335
Main Authors: Cen, Feng, Zhu, Fanglai
Format: Journal Article
Language:English
Published: Stevenage The Institution of Engineering and Technology 01.05.2014
John Wiley & Sons, Inc
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ISSN:1751-8628, 1751-8636
Online Access:Get full text
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Summary:The authors consider applying the systematic low-density parity-check codes with the parity based approach to the lossless (or near lossless) distributed joint source channel coding (DJSCC) with the decoder side information for the non-uniform sources over the asymmetric memoryless transmission channel. By using an equivalent channel coding model, which consists of two parallel subchannels: a correlation and a transmission sub-channel, respectively, they derive the codeword averaged density evolution (DE) for the DJSCC with the decoder side information for the asymmetrically correlated non-uniform sources over the asymmetric memoryless transmission channel. A new code ensemble definition of the irregular codes is introduced to distinguish between the source and the parity variable nodes, respectively. Extensive simulations demonstrate the effectiveness of the codeword averaged DE.
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ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2013.1005