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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Aaron, A. Girod, B. |
| Copyright Year | 2002 |
| Description | Author affiliation: Inf. Syst. Lab., Stanford Univ., CA, USA (Aaron, A.; Girod, B.) |
| Abstract | We show that turbo codes can come close to the Slepian-Wolf bound in lossless distributed source coding. In the asymmetric scenario considered, X and Y are statistically dependent signals and X is encoded with no knowledge of Y. However, Y is known as side information at the decoder. We use a system based on turbo codes to send X at a rate close to H(X|Y). We apply our system to binary sequences and simulations show performance close to the information-theoretic limit. For distributed source coding of Gaussian sequences, our results show significant improvement over previous work. The scheme also performs well for joint source-channel coding. |
| Sponsorship | Brandeis Univ. IEEE Comput. Soc |
| Starting Page | 252 |
| Ending Page | 261 |
| File Size | 418711 |
| Page Count | 10 |
| File Format | |
| ISBN | 0769514774 |
| ISSN | 10680314 |
| DOI | 10.1109/DCC.2002.999963 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2002-04-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Turbo codes Character generation Data compression Decoding Chromium |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications |
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