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

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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.

© 2015 Optical Society of America

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