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  • Research Article
  • Open Access

Multiple Description Coding with Side Information: Practical Scheme and Iterative Decoding

  • 1, 2Email author,
  • 1 and
  • 2
EURASIP Journal on Advances in Signal Processing20092009:170924

https://doi.org/10.1155/2009/170924

  • Received: 11 December 2008
  • Accepted: 5 May 2009
  • Published:

Abstract

Multiple description coding (MDC) with side information (SI) at the receiver is particularly relevant for robust transmission in sensor networks where correlated data is being transmitted to a common receiver, as well as for robust video compression. The rate-distortion region for this problem has been established in (Vaishampayan 1993). Here, we focus on the design of a practical MDC scheme with SI at the receiver. It builds upon both MDC principles and Slepian-Wolf (SW) coding principles. The input source is first quantized with a multiple description scalar quantizer (MDSQ) which introduces redundancy or correlation in the transmitted streams in order to take advantage of the path diversity. The resulting sequences of indexes are SW encoded, that is, separately encoded and jointly decoded. While the first step (MDSQ) plays the role of a channel code the second one (SW coding) plays the role of a source code, compressing the sequences of quantized indexes. In a second step, the cross-decoding of the two descriptions is proposed. This allows us to account for both the correlation with the SI as well as the correlation between the two descriptions.

Keywords

  • Sensor Network
  • Side Information
  • Channel Code
  • Video Compression
  • Input Source

Publisher note

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Authors’ Affiliations

(1)
L'Institut de recherche en informatique et systèmes aléatoires IRISA/INRIA, Campus Universitaire de Beaulieu, 35042 Rennes Cedex, France
(2)
Signal and Image Processing Department, TELECOM ParisTech, 46, rue Barrault, 75634 Paris, Cedex 13, France

Copyright

© Olivier Crave et al. 2009

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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