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

Yair Rivenson, Adrian Stern

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageAmerican English
Title of host publicationWavelets and Sparsity XV
StatePublished - 9 Dec 2013
EventWavelets and Sparsity XV - San Diego, CA, United States
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering


ConferenceWavelets and Sparsity XV
Country/TerritoryUnited States
CitySan Diego, CA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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