Joint source-channel iterative decoding based on hidden markov model
A joint source-channel decoding algorithm using source parameters which were estimated by the soft output of Turbo code with Baum-Welch reestimated algorithm was proposed. The source parameters were obtained by the soft output of decoding the received noisy information sequence. The joint source-cha...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2006-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74662323/ |
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| _version_ | 1841537387459510272 |
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| author | YIN Wei-wei WU Le-nan |
| author_facet | YIN Wei-wei WU Le-nan |
| author_sort | YIN Wei-wei |
| collection | DOAJ |
| description | A joint source-channel decoding algorithm using source parameters which were estimated by the soft output of Turbo code with Baum-Welch reestimated algorithm was proposed. The source parameters were obtained by the soft output of decoding the received noisy information sequence. The joint source-channel iterative decoding was implemented by combining the channel decoding and the source decoding with accurate probability structure of source model estimated by iteration. Discrimination information was suggested to measure the precision of the estimated source parameters and was used to determine the stop of the estimation iteration. |
| format | Article |
| id | doaj-art-5f322e89cb8c47df9033354174cdc20a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2006-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-5f322e89cb8c47df9033354174cdc20a2025-01-14T08:38:03ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01616574662323Joint source-channel iterative decoding based on hidden markov modelYIN Wei-weiWU Le-nanA joint source-channel decoding algorithm using source parameters which were estimated by the soft output of Turbo code with Baum-Welch reestimated algorithm was proposed. The source parameters were obtained by the soft output of decoding the received noisy information sequence. The joint source-channel iterative decoding was implemented by combining the channel decoding and the source decoding with accurate probability structure of source model estimated by iteration. Discrimination information was suggested to measure the precision of the estimated source parameters and was used to determine the stop of the estimation iteration.http://www.joconline.com.cn/zh/article/74662323/joint source-channel iterative decodinghidden Markov modelTurbo codeBaum-Welch algorithmdiscrimination information |
| spellingShingle | YIN Wei-wei WU Le-nan Joint source-channel iterative decoding based on hidden markov model Tongxin xuebao joint source-channel iterative decoding hidden Markov model Turbo code Baum-Welch algorithm discrimination information |
| title | Joint source-channel iterative decoding based on hidden markov model |
| title_full | Joint source-channel iterative decoding based on hidden markov model |
| title_fullStr | Joint source-channel iterative decoding based on hidden markov model |
| title_full_unstemmed | Joint source-channel iterative decoding based on hidden markov model |
| title_short | Joint source-channel iterative decoding based on hidden markov model |
| title_sort | joint source channel iterative decoding based on hidden markov model |
| topic | joint source-channel iterative decoding hidden Markov model Turbo code Baum-Welch algorithm discrimination information |
| url | http://www.joconline.com.cn/zh/article/74662323/ |
| work_keys_str_mv | AT yinweiwei jointsourcechanneliterativedecodingbasedonhiddenmarkovmodel AT wulenan jointsourcechanneliterativedecodingbasedonhiddenmarkovmodel |