Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver
<p>We consider the case of two correlated sources, <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> and <math alttext="$S_{2}$"><msub><mi>S</mi> <mn>2</mn> </msub>...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2005-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/WCN.2005.483 |
| _version_ | 1818833266890768384 |
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| author | Ser Javier Del Crespo Pedro M. Galdos Olaia |
| author_facet | Ser Javier Del Crespo Pedro M. Galdos Olaia |
| author_sort | Ser Javier Del |
| collection | DOAJ |
| description | <p>We consider the case of two correlated sources, <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> and <math alttext="$S_{2}$"><msub><mi>S</mi> <mn>2</mn> </msub> </math> . The correlation between them has memory, and it is modelled by a hidden Markov chain. The paper studies the problem of reliable communication of the information sent by the source <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> over an additive white Gaussian noise (AWGN) channel when the output of the other source <math alttext="$S_{2}$"><msub><mi>S</mi> <mn>2</mn> </msub> </math> is available as side information at the receiver. We assume that the receiver has no <emph>a priori</emph> knowledge of the correlation statistics between the sources. In particular, we propose the use of a turbo code for joint source-channel coding of the source <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> . The joint decoder uses an iterative scheme where the unknown parameters of the correlation model are estimated jointly within the decoding process. It is shown that reliable communication is possible at signal-to-noise ratios close to the theoretical limits set by the combination of Shannon and Slepian-Wolf theorems.</p> |
| first_indexed | 2024-12-19T02:16:12Z |
| format | Article |
| id | doaj.art-67b99dca09e74cb5b0639d99eca113dd |
| institution | Directory Open Access Journal |
| issn | 1687-1472 1687-1499 |
| language | English |
| last_indexed | 2024-12-19T02:16:12Z |
| publishDate | 2005-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-67b99dca09e74cb5b0639d99eca113dd2022-12-21T20:40:24ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992005-01-0120054483492Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the ReceiverSer Javier DelCrespo Pedro M.Galdos Olaia<p>We consider the case of two correlated sources, <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> and <math alttext="$S_{2}$"><msub><mi>S</mi> <mn>2</mn> </msub> </math> . The correlation between them has memory, and it is modelled by a hidden Markov chain. The paper studies the problem of reliable communication of the information sent by the source <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> over an additive white Gaussian noise (AWGN) channel when the output of the other source <math alttext="$S_{2}$"><msub><mi>S</mi> <mn>2</mn> </msub> </math> is available as side information at the receiver. We assume that the receiver has no <emph>a priori</emph> knowledge of the correlation statistics between the sources. In particular, we propose the use of a turbo code for joint source-channel coding of the source <math alttext="$S_{1}$"><msub><mi>S</mi> <mn>1</mn> </msub> </math> . The joint decoder uses an iterative scheme where the unknown parameters of the correlation model are estimated jointly within the decoding process. It is shown that reliable communication is possible at signal-to-noise ratios close to the theoretical limits set by the combination of Shannon and Slepian-Wolf theorems.</p>http://dx.doi.org/10.1155/WCN.2005.483distributed source codinghidden Markov model parameter estimationSlepian-Wolf theoremjoint source-channel coding |
| spellingShingle | Ser Javier Del Crespo Pedro M. Galdos Olaia Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver EURASIP Journal on Wireless Communications and Networking distributed source coding hidden Markov model parameter estimation Slepian-Wolf theorem joint source-channel coding |
| title | Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver |
| title_full | Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver |
| title_fullStr | Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver |
| title_full_unstemmed | Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver |
| title_short | Asymmetric Joint Source-Channel Coding for Correlated Sources with Blind HMM Estimation at the Receiver |
| title_sort | asymmetric joint source channel coding for correlated sources with blind hmm estimation at the receiver |
| topic | distributed source coding hidden Markov model parameter estimation Slepian-Wolf theorem joint source-channel coding |
| url | http://dx.doi.org/10.1155/WCN.2005.483 |
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