Rate Distortion Analysis for Quantization of Distributed Source Coding

Abstract

In this paper, we analyze the rate-distortion (R-D) performance of distributed source coding (DSC) quantization. In W-Z problem, quantization must consider source, channel, side information. In variable cases, source and output of quantization and side information forming different Markov chain, we propose rate distortion functions for clean and noisy sources using these chains. Based on these functions, we analyze some system parameters related to R-D performance for Gaussian source. The results show that side information have obviously effect