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 publicationOptics InfoBase Conference Papers
PublisherOptical Society of American (OSA)
ISBN (Print)9781557523082
StatePublished - 2014
EventSignal Recovery and Synthesis, SRS 2014 - Seattle, WA, United States
Duration: Jul 13 2014Jul 17 2014

Other

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

Fingerprint

Statistics
statistics

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Clarkson, E. W., & Kupinski, M. K. (2014). Optimal channelized quadratic observers for binary classification tasks. In Optics InfoBase Conference Papers Optical Society of American (OSA).

Optimal channelized quadratic observers for binary classification tasks. / Clarkson, Eric W; Kupinski, Meridith Kathryn.

Optics InfoBase Conference Papers. Optical Society of American (OSA), 2014.

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

Clarkson, EW & Kupinski, MK 2014, Optimal channelized quadratic observers for binary classification tasks. in Optics InfoBase Conference Papers. Optical Society of American (OSA), Signal Recovery and Synthesis, SRS 2014, Seattle, WA, United States, 7/13/14.
Clarkson EW, Kupinski MK. Optimal channelized quadratic observers for binary classification tasks. In Optics InfoBase Conference Papers. Optical Society of American (OSA). 2014
Clarkson, Eric W ; Kupinski, Meridith Kathryn. / Optimal channelized quadratic observers for binary classification tasks. Optics InfoBase Conference Papers. Optical Society of American (OSA), 2014.
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