A Practical Low Delay Digital Scheme for Wyner-Ziv Coding over Gaussian Broadcast Channel

In this paper, we propose a practical low delay digital scheme for lossy transmission of a Gaussian source over Gaussian broadcast channel when there is correlated side information at the receivers. Focusing on two receivers scenario, a bit-filling criterion is applied at the transmitter, to establish a connection between the common layer and refinement layer data. Then, we complete the dirty paper coding according to jointly typicality and finally superimpose the two layers for transmission. At the receiver, we propose a modified log-likelihood ratio-belief propagation decoding algorithm to utilize side information. And a typical-set based decoding algorithm is introduced to be an effective supplement if the decoding decision of the successive canceling method fails. Simulated results show that the proposed typical set decoding algorithm plays an excellent part in refinement layer recovery, and on the whole, the proposed digital scheme renders better reconstruction accuracy than the corresponding low delay separate source channel coding.