Minimum squared error synthetic discriminant functions
- 1 January 1992
- journal article
- Published by SPIE-Intl Soc Optical Eng in Optical Engineering
- Vol. 31 (5) , 915-923
- 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.Keywords
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