Distributed Coding of Sources With Bursty Correlation

Elsa Dupraz (1) , Francesca Bassi (1) , Thomas Rodet (1) , Michel Kieffer (1, 2, 3)

1 L2S - Laboratoire des signaux et systèmes
2 LTCI - Laboratoire Traitement et Communication de l'Information
3 IUF - Institut Universitaire de France

This paper focuses on the performance of aWyner-Ziv coding scheme for which the correlation between the source and the side information is modeled by a hidden Markov model with Gaussian emission. Such a signal model takes the memory of the correlation into account and is hence able to describe the bursty nature of the correlation between sources in applications such as sensor networks, video coding etc. This paper provides bounds on the rate-distortion performance of a Wyner-Ziv coding scheme for such model. It proposes a practical coding scheme able to exploit the memory in the correlation. Finally, the contribution to each part of the coding and decoding scheme is analysed.

Domains: Computer Science [cs]; Information Theory [cs.IT]; Mathematics [math]; Information Theory [math.IT]; Computer Science [cs]; Signal and Image Processing; Engineering Sciences [physics]; Signal and Image processing

Elsa Dupraz, Francesca Bassi, Thomas Rodet, Michel Kieffer. Distributed Coding of Sources With Bursty Correlation. ICASSP 2012 - 37th IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2012, Kyoto, Japan. pp.1-4, ⟨10.1109/icassp.2012.6288539⟩. ⟨hal-00727530⟩