Optimal channelized quadratic observers for binary classification tasks

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

Abstract

A new method is presented for computing optimized channels for channelized quadratic observers utilizing high-dimensional image data. Gaussian statistics are assumed for the image data, but the method is applicable in more general situations.

Original languageEnglish (US)
Title of host publicationImaging and Applied Optics - Signal Recovery and Synthesis, SRS 2014
PublisherOptical Society of American (OSA)
ISBN (Print)9781557523082
StatePublished - Jan 1 2014
EventSignal Recovery and Synthesis, SRS 2014 - Seattle, WA, United States
Duration: Jul 13 2014Jul 17 2014

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherSignal Recovery and Synthesis, SRS 2014
CountryUnited States
CitySeattle, WA
Period7/13/147/17/14

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Clarkson, E., & Kupinski, M. (2014). Optimal channelized quadratic observers for binary classification tasks. In Imaging and Applied Optics - Signal Recovery and Synthesis, SRS 2014 (Optics InfoBase Conference Papers). Optical Society of American (OSA).