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

Publication ,  Conference
Chen, EX; Lian, W; Carin, L; Brady, DJ
Published in: Optics InfoBase Conference Papers
January 1, 2015

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.

Duke Scholars

Published In

Optics InfoBase Conference Papers

EISSN

2162-2701

Publication Date

January 1, 2015
 

Citation

APA
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ICMJE
MLA
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Chen, E. X., Lian, W., Carin, L., & Brady, D. J. (2015). Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification. In Optics InfoBase Conference Papers.
Chen, E. X., W. Lian, L. Carin, and D. J. Brady. “Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification.” In Optics InfoBase Conference Papers, 2015.
Chen EX, Lian W, Carin L, Brady DJ. Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification. In: Optics InfoBase Conference Papers. 2015.
Chen, E. X., et al. “Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification.” Optics InfoBase Conference Papers, 2015.
Chen EX, Lian W, Carin L, Brady DJ. Task-driven Adaptive Sensing on Quadrupole Mass Filter Systems for Classification. Optics InfoBase Conference Papers. 2015.

Published In

Optics InfoBase Conference Papers

EISSN

2162-2701

Publication Date

January 1, 2015