Proceedings Paper
Theory of compressive sensing with quadratic phase systems and examples in optics| Format | Member Price | Non-Member Price |
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Paper Abstract
We examine compressive sensing (CS) systems where the sensing mechanism is based on convolution with a quadratic phase function. The performance of such systems is evaluated as function of the system parameters. Examples of CS application involving optical quadratic phase filters are presented, including three dimensional object reconstructions from two dimensional recorded quadratic phase filtered fields, and reconstruction of objects set behind a partially opaque media.
Paper Details
Date Published: 26 September 2013
PDF: 12 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 885814 (26 September 2013); doi: 10.1117/12.2024449
Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)
PDF: 12 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 885814 (26 September 2013); doi: 10.1117/12.2024449
Show Author Affiliations
Yair Rivenson, Ben-Gurion Univ. of the Negev (Israel)
Adrian Stern, Ben-Gurion Univ. of the Negev (Israel)
Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)
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