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Content Provider | IEEE Xplore Digital Library |
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Author | Ceulemans, B. Satti, S.M. Deligiannis, N. Verbist, F. Munteanu, A. |
Copyright Year | 2014 |
Description | Author affiliation: Dept. of Electron. & Inf., Vrije Univ. Brussel, Brussels, Belgium (Ceulemans, B.; Satti, S.M.; Deligiannis, N.; Verbist, F.; Munteanu, A.) |
Abstract | Using multiple description (MD) coding mechanisms, this paper proposes a novel coding framework for error-resilience in distributed source coding (DSC) in sensor networks. In particular, scalable source descriptions are first generated using a symmetric scalable MD scalar quantizer. These descriptions are then layered Wyner-Ziv (WZ) coded using low-density parity-check accumulate (LDPCA) -based syndrome binning. The decoder consists of two side decoders which attempt to iteratively decode their respective description at various LDPCA puncturing rates in the presence of a correlated side information. A central decoder exploits the inter-description correlation to further enhance the WZ rate-distortion performance when both descriptions are partially or fully received. In contrast to earlier work, our proposed decoding scheme also exploits the correlation that exists between bit-planes. Experimental simulations reveal that, for a Gaussian source, the proposed system yields a performance improvement of roughly 0.66 dB when compared to not exploiting inter-description correlations. |
Starting Page | 835 |
Ending Page | 839 |
File Size | 312980 |
Page Count | 5 |
File Format | |
ISBN | 9780992862619 |
ISSN | 20761465 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2014-09-01 |
Publisher Place | Portugal |
Access Restriction | Subscribed |
Rights Holder | EURASIP |
Subject Keyword | Layered Wyner-Ziv coding Correlation Multiple description coding Source coding Cross-decoding Iterative decoding Signal to noise ratio Maximum likelihood decoding Distributed source coding |
Content Type | Text |
Resource Type | Article |
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