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1 July 1992 Minimum squared-error: synthetic discriminant function filter performance evaluations
S. Richard F. Sims, Jim F. Epperson, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis
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Proceedings Volume 1701, Optical Pattern Recognition III; (1992) https://doi.org/10.1117/12.138325
Event: Aerospace Sensing, 1992, Orlando, FL, United States
Abstract
Several versions of synthetic discriminant functions have been proposed over the last twelve years. This paper describes the results of tests on the 'Minimum Squared Error SDF,' (MSE- SDF), a recently proposed variation, with some specific unique performance detection capabilities.
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S. Richard F. Sims, Jim F. Epperson, Bhagavatula Vijaya Kumar, and Abhijit Mahalanobis "Minimum squared-error: synthetic discriminant function filter performance evaluations", Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); https://doi.org/10.1117/12.138325
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KEYWORDS
Optical pattern recognition
Silicon
Fourier transforms
Detection and tracking algorithms
Mahalanobis distance
Optical filters
Computer programming
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