Adaptive compressive sensing with multiscale hadamard patterns

Vladislav Kravets, Adrian Stern

Research output: Contribution to conferencePaperpeer-review

Abstract

We introduce an efficient adaptive compressive sensing technique that utilizes the zerotrees concept. The method uses multiscale ordered Hadamard sampling and its relation to the Haar wavelet, therefore is particularly useful for single pixel imaging.

Original languageEnglish GB
DOIs
StatePublished - 1 Jan 2019
EventComputational Optical Sensing and Imaging, COSI 2019 - Munich, Germany
Duration: 24 Jun 201927 Jun 2019

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2019
Country/TerritoryGermany
CityMunich
Period24/06/1927/06/19

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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