Title: Application Analysis of Compressive Sensing/Sampling Theory on Source Localization
Abstract:In this paper, we consider the source localization problem with Compressive Sensing/Sampling (CS) Theory. CS Theory asserts one can reconstruct sparse or compressible signals from a very limited numbe...In this paper, we consider the source localization problem with Compressive Sensing/Sampling (CS) Theory. CS Theory asserts one can reconstruct sparse or compressible signals from a very limited number of measurements. A necessary condition relies on properties of the sensing matrix such as the restricted isometry property (RIP). This paper explains why sparse construction can be used in source localization with RIP conception.Read More
Publication Year: 2012
Publication Date: 2012-12-01
Language: en
Type: article
Indexed In: ['crossref']
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