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
Hauptverfasser: Cen, Feng, Zhu, Fanglai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: 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.
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
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  givenname: Fanglai
  surname: Zhu
  fullname: Zhu, Fanglai
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2021 The Institution of Engineering and Technology
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Issue 8
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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Snippet The authors consider applying the systematic low-density parity-check codes with the parity based approach to the lossless (or near lossless) distributed joint...
The authors consider applying the systematic low‐density parity‐check codes with the parity based approach to the lossless (or near lossless) distributed joint...
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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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