| Integrated Joint Source-Channel Symbol-by-Symbol Decoding of Variable-Length Codes Using 3-D MAP Sequence Estimation |
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| 作者姓名： | WU Jing CHEN Shuzhen |
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| 作者单位： | School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China |
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| 基金项目： | Supported by the Foundation of Ministry ot Education ot China （211CERS 10） |
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| 摘 要： | Most of multimedia schemes employ variable-length codes （VLCs） like Huffman code as core components in obtaining high compression rates. However VLC methods are very sensitive to channel noise. The goal of this paper is to salvage as many data from the damaged packets as possible for higher audiovisual quality. This paper proposes an integrated joint source-channel decoder （I-JSCD） at a symbol-level using three-dimensional （3-D） trellis representation for first-order Markov sources encoded with VLC source code and convolutional channel code. This method combines source code and channel code state-spaces and bit-lengths to construct a two-dimensional （2-D） state-space, and then develops a 3-D trellis and a maximum a-posterior （MAP） algorithm to estimate the source sequence symbol by symbol. Experiment results demonstrate that our method results in significant improvement in decoding performance, it can salvage at least half of （50%） data in any channel error rate, and can provide additional error resilience to VLC stream like image, audio, video stream over high error rate links.
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| 关 键 词： | 定长编码 三维MAP 信源信道联合译码 残留冗余估计 |
| 文章编号： | 1007-1202（2007）03-0471-05 |
| 收稿时间： | 12 October 2006 |
| 修稿时间： | 2006-10-12 |
Integrated joint source-channel symbol-by-symbol decoding of variable-length codes using 3-D MAP sequence estimation |
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| WU Jing CHEN Shuzhen.Integrated Joint Source-Channel Symbol-by-Symbol Decoding of Variable-Length Codes Using 3-D MAP Sequence Estimation[J].Wuhan University Journal of Natural Sciences,2007,12(3):471-475. |
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| Authors: | Wu Jing Chen Shuzhen |
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| Institution: | (1) School of Electronic Information, Wuhan University, Wuhan, 430072, Hubei, China |
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| Abstract: | Most of multimedia schemes employ variable-length codes (VLCs) like Huffman code as core components in obtaining high compression rates. However VLC methods are very sensitive to channel noise. The goal of this paper is to salvage as many data from the damaged packets as possible for higher audiovisual quality. This paper proposes an integrated joint source-channel decoder (I-JSCD) at a symbol-level using three-dimensional (3-D) trellis representation for first-order Markov sources encoded with VLC source code and convolutional channel code. This method combines source code and channel code state-spaces and bit-lengths to construct a two-dimensional (2-D) state-space,and then develops a 3-D trellis and a maximum a-posterior (MAP) algorithm to estimate the source sequence symbol by symbol. Experiment results demonstrate that our method results in significant improvement in decoding performance,it can salvage at least half of (50%) data in any channel error rate,and can provide additional error resilience to VLC stream like image,audio,video stream over high error rate links. |
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| Keywords: | integrated joint source-channel decoding (I-JSCD) variable-length code (VLC) exp-Golomb code convolutional code maximum a-posteriori (MAP) |
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