Sensing matrix optimization in Distributed Compressed Sensing
作者： Pablo Vinuelas-Peris , Antonio Artes-Rodriguez
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摘要: Distributed Compressed Sensing (DCS) seeks to simultaneously measure signals that are each individually sparse in some domain(s) and also mutually correlated. In this paper we consider the scenario which (overcomplete) bases for common component innovations different. We propose analyze a distributed coding strategy component, use of Efficient Projection (EP) method optimizing sensing matrices setting. show effectiveness our approach by computer simulations using Orthogonal Matching Pursuit (OMP) as joint recovery method, discuss configuration distribution strategy.
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