Optimal Filters for High-Speed Compressive Detection in Spectroscopy
Friday, July 31, 2015 - 9:10am - 9:50am
ARMS Room 1010
A key bottleneck to high-speed chemical analysis is the time required to collect and analyze chemical spectral data. One approach to overcoming this problem is based on a new type of filter, in which energy from multiple frequencies is aggregated in order to reduce noise effects and decrease the total number of measurements needed for a given purpose. In this talk I describe the mathematical formulation of this problem and describe results on the selection of optimal filters for estimation of the chemical composition of a sample and estimation of the associated uncertainty.