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

    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 languageAmerican English
    Title of host publicationWavelets and Sparsity XV
    DOIs
    StatePublished - 9 Dec 2013
    EventWavelets and Sparsity XV -
    Duration: 9 Dec 2013 → …

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume8858

    Conference

    ConferenceWavelets and Sparsity XV
    Period9/12/13 → …

    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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