Adaptive compressive imaging via sequential parameter estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe a compressive imager that adapts the measurement basis based on past measurements within a sequential Bayesian estimation framework. Simulation study shows a 7% improvement in reconstruction performance compared to a static measurement basis.

Original languageEnglish (US)
Title of host publicationOptics InfoBase Conference Papers
Publication statusPublished - 2011
EventComputational Optical Sensing and Imaging, COSI 2011 - Toronto, Canada
Duration: Jul 10 2011Jul 14 2011

Other

OtherComputational Optical Sensing and Imaging, COSI 2011
CountryCanada
CityToronto
Period7/10/117/14/11

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ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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