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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, Zunliang Li, Xueming Zhao, Min |
| Copyright Year | 2008 |
| Abstract | Distributed coding is a new paradigm for compressing correlated distributed sources, based on Slepian-Wolf and Wyner-Ziv theorem. This scheme is appropriate for wireless sensor network and distributed video coding. In this paper, we address the problem of coding two Gaussian correlated non-binary sources with one of which is only available at the decoder using the non-binary low-density parity-check (LDPC) codes. The proposed approach is based on the extension of the channel coding concept of syndrome. The correlation between the sources is modeled as a virtual additive Gaussian backward channel. The use of non-binary LDPC codes in the proposed system makes coding without converting non-binary sources to binary bits feasible, and thus it overcomes the reduction in correlation caused by conversion. Experiments show that the proposed system achieves a good performance over GF(4) and GF(8), which enables us to reasonably conclude that the considered scheme is extremely suitable for distributed coding of correlated non-binary sources. |
| Starting Page | 214 |
| Ending Page | 218 |
| File Size | 397045 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769531199 |
| DOI | 10.1109/CISP.2008.35 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video coding AWGN Source coding Channel coding Iterative decoding non-binary LDPC Distributed source coding Wireless sensor networks Image coding Wyner-Ziv coding Signal processing Parity check codes Binary sequences |
| Content Type | Text |
| Resource Type | Article |
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