1 May 1992 Minimum squared error synthetic discriminant functions
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Optical Engineering, 31(5), (1992). doi:10.1117/12.56169
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, Abhijit Mahalanobis, Sewoong Song, S. Richard F. Sims, Jim F. Epperson, "Minimum squared error synthetic discriminant functions," Optical Engineering 31(5), (1 May 1992). http://dx.doi.org/10.1117/12.56169
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KEYWORDS
Image filtering

Detection and tracking algorithms

Fourier transforms

Nonlinear filtering

Matrices

Error analysis

Computer engineering

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