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
Chicago
ICMJE
MLA
NLM
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