Abstract
In this paper we propose a novel algorithm for Distributed Compressed Sensing (DCS) problem, referred as Regularized Sparsity Adaptive Matching Pursuit (RSAMP), which is a modified version of Regularized Orthogonal Matching Pursuit (ROMP) method. It can provide a fast runtime and reconstruct several input signals simultaneously without prior information of their sparseness. This makes it as a promising candidate for many practical applications, such as Telecardiology Sensor Network (TSN). Numerical experiments are performed to demonstrate the validity and high performance of the proposed algorithm for multichannel Electrocardiography (ECG) signals joint acquisition and reconstruction.
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