%0 Journal Article
%T Methods for Distributed Compressed Sensing
%A Dennis Sundman
%A Saikat Chatterjee
%A Mikael Skoglund
%J Journal of Sensor and Actuator Networks
%D 2014
%I MDPI AG
%R 10.3390/jsan3010001
%X Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements. In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or the requirement for a fewer number of local measurements can be expected if the nodes cooperate. In this paper, we provide an overview of the current literature regarding distributed compressed sensing; in particular, we discuss aspects of network topologies, signal models and recovery algorithms.
%K distributed compressed sensing
%K distributed greedy pursuit
%K greedy algorithms
%U http://www.mdpi.com/2224-2708/3/1/1