Optimal channelized quadratic observers for binary classification tasks

Eric Clarkson; Meridith Kathryn Kupinski

doi:10.1364/srs.2014.sm3f.1

Optimal channelized quadratic observers for binary classification tasks

Eric Clarkson, Meridith Kathryn Kupinski

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Imaging and Applied Optics - Signal Recovery and Synthesis, SRS 2014
Publisher	Optical Society of America (OSA)
ISBN (Print)	9781557523082, 9781557523082
DOIs	https://doi.org/10.1364/srs.2014.sm3f.1
State	Published - 2014
Event	Signal Recovery and Synthesis, SRS 2014 - Seattle, WA, United States Duration: Jul 13 2014 → Jul 17 2014

Publication series

Name	Optics InfoBase Conference Papers
ISSN (Electronic)	2162-2701

Other

Other	Signal Recovery and Synthesis, SRS 2014
Country/Territory	United States
City	Seattle, WA
Period	7/13/14 → 7/17/14

ASJC Scopus subject areas

Instrumentation
Atomic and Molecular Physics, and Optics

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10.1364/srs.2014.sm3f.1

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@inproceedings{385bead3406f4f16aa62f8e9cd51d273,

title = "Optimal channelized quadratic observers for binary classification tasks",

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.",

author = "Eric Clarkson and Kupinski, {Meridith Kathryn}",

year = "2014",

doi = "10.1364/srs.2014.sm3f.1",

language = "English (US)",

isbn = "9781557523082",

series = "Optics InfoBase Conference Papers",

publisher = "Optical Society of America (OSA)",

booktitle = "Imaging and Applied Optics - Signal Recovery and Synthesis, SRS 2014",

note = "Signal Recovery and Synthesis, SRS 2014 ; Conference date: 13-07-2014 Through 17-07-2014",

}

TY - GEN

T1 - Optimal channelized quadratic observers for binary classification tasks

AU - Clarkson, Eric

AU - Kupinski, Meridith Kathryn

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85087603088&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85087603088&partnerID=8YFLogxK

U2 - 10.1364/srs.2014.sm3f.1

DO - 10.1364/srs.2014.sm3f.1

M3 - Conference contribution

AN - SCOPUS:85087603088

SN - 9781557523082

T3 - Optics InfoBase Conference Papers

BT - Imaging and Applied Optics - Signal Recovery and Synthesis, SRS 2014

PB - Optical Society of America (OSA)

T2 - Signal Recovery and Synthesis, SRS 2014

Y2 - 13 July 2014 through 17 July 2014

ER -

Optimal channelized quadratic observers for binary classification tasks

Abstract

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ASJC Scopus subject areas

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