期刊论文详细信息
Journal of Sensor and Actuator Networks
Methods for Distributed Compressed Sensing
Dennis Sundman1  Saikat Chatterjee2 
[1] School of Electrical Engineering and ACCESS Linneaus Centre, KTH Royal Institute of Technology, Stockholm SE-100 44, Sweden;
关键词: distributed compressed sensing;    distributed greedy pursuit;    greedy algorithms;   
DOI  :  10.3390/jsan3010001
来源: mdpi
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【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.

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