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J. Sens. Actuator Netw. 2014, 3(1), 1-25; doi:10.3390/jsan3010001
Article

Methods for Distributed Compressed Sensing

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Received: 15 October 2013 / Revised: 29 November 2013 / Accepted: 9 December 2013 / Published: 23 December 2013
(This article belongs to the Special Issue Feature Papers)
Download PDF [360 KB, 30 December 2013; original version 23 December 2013]

Abstract

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.
Keywords: distributed compressed sensing; distributed greedy pursuit; greedy algorithms distributed compressed sensing; distributed greedy pursuit; greedy algorithms
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Sundman, D.; Chatterjee, S.; Skoglund, M. Methods for Distributed Compressed Sensing. J. Sens. Actuator Netw. 2014, 3, 1-25.

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