Computer Science – Performance
Scientific paper
Jun 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998aipc..430..227i&link_type=abstract
The eleventh international conference on fourier transform spectroscopy. AIP Conference Proceedings, Volume 430, pp. 227-230 (1
Computer Science
Performance
Remote Sensing, Lidar And Adaptive Systems, Pattern Recognition, Effects Of Air Pollution
Scientific paper
Fourier transform infrared (FTIR) remote sensing measurements are used to implement an automated detection algorithm for ethanol vapor in the presence of ammonia, acetone, and isopropanol. This detection strategy is based on the direct analysis of interferogram data collected by the spectrometer. One or more bandpass digital filters are applied to the interferogram, and sections of the filtered data are combined to form a pattern for use with piecewise linear discriminant analysis (PLDA). The performance of PLDA with patterns constructed from the use of multiple filters is compared to the corresponding performance with patterns based on the use of a single filter. The use of multiple filters is observed to improve the ability of PLDA to detect small ethanol signatures in the presence of a large ammonia background.
Idwasi Patrick O.
Small Gary W.
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