Browsing Department of Materials Science and Metallurgy by Subject "structured compressed sensing"
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On the Absence of Uniform Recovery in Many Real-World Applications of Compressed Sensing and the Restricted Isometry Property and Nullspace Property in Levels
(Society for Industrial and Applied MathematicsSiam Journal on Imaging Sciences, 2017-03-15)The purpose of this paper is twofold. The first is to point out that the property of uniform recovery, meaning that all sparse vectors are recovered, does not hold in many applications where compressed sensing is successfully ...