Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

Evan Xuguang Chen; Wenzhao Lian; Lawrence Carin; David J. Brady

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

Evan Xuguang Chen, Wenzhao Lian, Lawrence Carin, David J. Brady

Research output: Contribution to journal › Conference article › peer-review

Abstract

An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.

Original language	English (US)
Article number	CTh2E.3
Journal	Optics InfoBase Conference Papers
State	Published - 2015
Externally published	Yes
Event	Computational Optical Sensing and Imaging, COSI 2015 - Arlington, United States Duration: Jun 7 2015 → Jun 11 2015

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

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title = "Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification",

abstract = "An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.",

author = "Chen, {Evan Xuguang} and Wenzhao Lian and Lawrence Carin and Brady, {David J.}",

note = "Publisher Copyright: {\textcopyright} 2015 OSA.; Computational Optical Sensing and Imaging, COSI 2015 ; Conference date: 07-06-2015 Through 11-06-2015",

year = "2015",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

AU - Chen, Evan Xuguang

AU - Lian, Wenzhao

AU - Carin, Lawrence

AU - Brady, David J.

PY - 2015

Y1 - 2015

N2 - An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.

AB - An information-theoretical adaptive sensing and classification framework is proposed for Quadrupole mass filter systems. Simulation results demonstrate significant reduction in number of measurement and improvement of classification accuracy using the adaptive approach compared with baselines.

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UR - http://www.scopus.com/inward/citedby.url?scp=85136277257&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85136277257

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - CTh2E.3

T2 - Computational Optical Sensing and Imaging, COSI 2015

Y2 - 7 June 2015 through 11 June 2015

ER -

Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification

Abstract

ASJC Scopus subject areas

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