Minimum squared error synthetic discriminant functions

Bhagavatula Vijaya Kumar; Abhijit Mahalanobis; Sewoong Song; S. Richard F. Sims; Jim F. Epperson

doi:10.1117/12.56169

1 May 1992 Minimum squared error synthetic discriminant functions

Bhagavatula Vijaya Kumar, Abhijit Mahalanobis, Sewoong Song, S. Richard F. Sims, Jim F. Epperson

Author Affiliations +

Optical Engineering, Vol. 31, Issue 5, (May 1992). https://doi.org/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.

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Bhagavatula Vijaya Kumar, Abhijit Mahalanobis, Sewoong Song, S. Richard F. Sims, and Jim F. Epperson "Minimum squared error synthetic discriminant functions," Optical Engineering 31(5), (1 May 1992). https://doi.org/10.1117/12.56169

Published: 1 May 1992

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