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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| Veröffentlicht in: | IET communications Jg. 8; H. 8; S. 1325 - 1335 |
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Stevenage
The Institution of Engineering and Technology
01.05.2014
John Wiley & Sons, Inc |
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| ISSN: | 1751-8628, 1751-8636 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Cen, Feng Zhu, Fanglai |
| Author_xml | – sequence: 1 givenname: Feng surname: Cen fullname: Cen, Feng email: feng.cen@tongji.edu.cn organization: Department of Control Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China – sequence: 2 givenname: Fanglai surname: Zhu fullname: Zhu, Fanglai organization: Department of Control Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, People's Republic of China |
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| Keywords | decoder side information DE systematic low-density parity-check codes channel coding parity check codes combined source-channel coding parity variable nodes DJSCC decoding distributed joint source channel coding codeword averaged density evolution asymmetric memoryless transmission channel equivalent channel coding model |
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| SubjectTerms | asymmetric memoryless transmission channel Asymmetry channel coding Channels codeword averaged density evolution Coding combined source‐channel coding Correlation decoder side information Decoders decoding Density distributed joint source channel coding DJSCC equivalent channel coding model Evolution Parity parity check codes parity variable nodes systematic low‐density parity‐check codes |
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| Title | Codeword averaged density evolution for distributed joint source and channel coding with decoder side information |
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