Empirical Rate-Distortion Study of Compressive Sensing-Based Joint Source-Channel Coding
Compressive Sensing (CS) is a novel technique which allows to reconstruct signals using much fewer measurements than traditional sampling methods by taking advantage of the sparsity of the signals to be compressed. Previous works related to the rate-distortion analysis of CS have been focused on its performance related to image compressing and quantized CS measurements. Derive bounds for the rate-distortion, while presents a rate-distortion analysis by representing the compressive sensing problems using a set of differential equations derived from a bipartite graph. In a recent work, a joint source-channel-network coding scheme is proposed using compressive sensing for wireless network with AWGN channels.