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Methods for Distributed Compressed Sensing
AbstractCompressed 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.
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Sundman, D.; Chatterjee, S.; Skoglund, M. Methods for Distributed Compressed Sensing. J. Sens. Actuator Netw. 2014, 3, 1-25.View more citation formats
Sundman D, Chatterjee S, Skoglund M. Methods for Distributed Compressed Sensing. Journal of Sensor and Actuator Networks. 2014; 3(1):1-25.Chicago/Turabian Style
Sundman, Dennis; Chatterjee, Saikat; Skoglund, Mikael. 2014. "Methods for Distributed Compressed Sensing." J. Sens. Actuator Netw. 3, no. 1: 1-25.