دانلود A novel distributed compressed sensing algorithm for multichannel Electrocardiography signals

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.