A Sampling-based Distributed Source Coding Scheme
In many practical distributed source coding (DSC) schemes that apply channel coding and iterative decoding, correlation estimation provides the likelihood information about the source bits to initialize the decoding algorithms. Therefore, the decoding depends strongly on the accuracy of this correla...
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| Vydáno v: | Journal of physics. Conference series Ročník 1914; číslo 1; s. 12022 - 12027 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Bristol
IOP Publishing
01.05.2021
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| ISSN: | 1742-6588, 1742-6596 |
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| Abstract | In many practical distributed source coding (DSC) schemes that apply channel coding and iterative decoding, correlation estimation provides the likelihood information about the source bits to initialize the decoding algorithms. Therefore, the decoding depends strongly on the accuracy of this correlation estimation information. In this study, a sampling-based scheme for DSC is proposed that takes advantage of the source redundancy without requiring prior knowledge of its statistics. At the sender, the source sequence is sampled to obtain the sampled and unsampled sub-sequences. Then, the un-sampled sub-sequence is compressed by an arithmetic coder. Meanwhile the syndromes of the sampled sub-sequence are also calculated. At the receiver, the correlation between the side information and the un-sampled sub-sequence is used to estimate the conditional marginal distribution of the sampled sub-sequence. Then, the estimated information is used to initialize the likelihood information of the decoding algorithms. Finally, the likelihood information is combined with the received syndromes to perform iterative decoding to recover the original sampled sub-sequence. Experiment results show that the proposed scheme achieves better rate-distortion performance compared with the existing DSC schemes. |
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| AbstractList | In many practical distributed source coding (DSC) schemes that apply channel coding and iterative decoding, correlation estimation provides the likelihood information about the source bits to initialize the decoding algorithms. Therefore, the decoding depends strongly on the accuracy of this correlation estimation information. In this study, a sampling-based scheme for DSC is proposed that takes advantage of the source redundancy without requiring prior knowledge of its statistics. At the sender, the source sequence is sampled to obtain the sampled and unsampled sub-sequences. Then, the un-sampled sub-sequence is compressed by an arithmetic coder. Meanwhile the syndromes of the sampled sub-sequence are also calculated. At the receiver, the correlation between the side information and the un-sampled sub-sequence is used to estimate the conditional marginal distribution of the sampled sub-sequence. Then, the estimated information is used to initialize the likelihood information of the decoding algorithms. Finally, the likelihood information is combined with the received syndromes to perform iterative decoding to recover the original sampled sub-sequence. Experiment results show that the proposed scheme achieves better rate-distortion performance compared with the existing DSC schemes. |
| Author | Mo, H Chen, J Li, J Zhao, M |
| Author_xml | – sequence: 1 givenname: H surname: Mo fullname: Mo, H organization: Department of Electronic Engineering, Information School, Yunnan University , China – sequence: 2 givenname: J surname: Chen fullname: Chen, J organization: Department of Electronic Engineering, Information School, Yunnan University , China – sequence: 3 givenname: J surname: Li fullname: Li, J organization: Department of Electronic Engineering, Information School, Yunnan University , China – sequence: 4 givenname: M surname: Zhao fullname: Zhao, M organization: Department of Electronic Engineering, Information School, Yunnan University , China |
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| Cites_doi | 10.1109/TIT.1976.1055508 10.1109/TIT.2004.839518 10.1007/s11042-016-4245-x 10.1109/LCOMM.2007.071172 10.1109/TIP.2011.2175936 10.1109/TIT.1973.1055037 10.1109/TIT.2008.920187 10.1109/TIT.2002.808103 10.1109/LCOMM.2002.804244 10.1109/MSP.2004.1328091 |
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| SubjectTerms | Algorithms Codes Coding Correlation Estimation Decoding Disorders Distributed Source Coding (DSC) LDPC code Physics Redundancy Sampling Side Information |
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| Title | A Sampling-based Distributed Source Coding Scheme |
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