Compressed Sensing: How Sharp Is the Restricted Isometry Property?

Compressed Sensing: How Sharp Is the Restricted Isometry Property?

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Compressed sensing (CS) seeks to recover an unknown vector with N entries by making far fewer than N measurements; it posits that the number of CS measurements should be comparable to the information content of the vector, not simply N. CS combines directly the important task of compression with the...

书目详细资料
Main Authors:	Blanchard, J, Cartis, C, Tanner, J
格式:	Journal article
语言:	English
出版:	2011

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