Theory of compressive sensing with quadratic phase systems and examples in optics

Yair Rivenson, Adrian Stern

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

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.

Original languageEnglish
DOIs
StatePublished - 9 Dec 2013
EventWavelets and Sparsity XV - San Diego, CA, United States
Duration: 26 Aug 201329 Aug 2013

Conference

ConferenceWavelets and Sparsity XV
Country/TerritoryUnited States
CitySan Diego, CA
Period26/08/1329/08/13

Fingerprint

Dive into the research topics of 'Theory of compressive sensing with quadratic phase systems and examples in optics'. Together they form a unique fingerprint.

Cite this