Paper
26 September 2013 Theory of compressive sensing with quadratic phase systems and examples in optics
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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.
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Yair Rivenson and Adrian Stern "Theory of compressive sensing with quadratic phase systems and examples in optics", Proc. SPIE 8858, Wavelets and Sparsity XV, 885814 (26 September 2013); https://doi.org/10.1117/12.2024449
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Electronic filtering

Compressed sensing

Holography

Sensing systems

Convolution

Particles

Signal processing

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