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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaohan Wang Xiaolin Wu |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont. (Xiaohan Wang; Xiaolin Wu) |
| Abstract | This paper proposes a framework for joint source-channel decoding of Markov sequences that are encoded by an entropy coded multiple description quantizer (MDQ), and transmitted via a lossy network. This framework is particularly suited for lossy networks of inexpensive energy-deprived mobile source encoders. Our approach is one of maximum aposteriori probability (MAP) sequence estimation that exploits both the source memory and the correlation between different MDQ descriptions. The MAP problem is modeled and solved as one of the longest path in a weighted directed acyclic graph. For MDQ-compressed Markov sequences impaired by both bit errors and erasure errors, the proposed joint source-channel MAP decoder can achieve 5 dB higher SNR than the conventional hard-decision decoder. Furthermore, the new MDQ decoding technique unifies the treatments of different subsets of the K descriptions available at the decoder, circumventing the thorny issue of requiring up to $2^{K}-1$ MDQ side decoders |
| Starting Page | 1429 |
| Ending Page | 1432 |
| File Size | 144733 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424403667 |
| DOI | 10.1109/ICME.2006.262808 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-07-09 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decoding Redundancy Entropy coding Lattices Propagation losses Batteries Mobile computing Context Arithmetic Channel coding |
| Content Type | Text |
| Resource Type | Article |
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