1 May 1992 Minimum squared error synthetic discriminant functions
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Abstract
A new synthetic discriminant function (SDF) design approach is presented that yields the best approximation of arbitrary output correlation shapes in the minimum squared error (MSE) sense. We term such filters as MSE-SDFs. Simulation results are presented to illustrate the advantages of MSE-SDFs. Also, we show that MSE-SDFs generalize minimum average correlation energy filters.
Bhagavatula Vijaya Kumar, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis, Abhijit Mahalanobis, Sewoong Song, Sewoong Song, S. Richard F. Sims, S. Richard F. Sims, Jim F. Epperson, Jim F. Epperson, } "Minimum squared error synthetic discriminant functions," Optical Engineering 31(5), (1 May 1992). https://doi.org/10.1117/12.56169 . Submission:
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