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Optical Engineering

Minimum squared error synthetic discriminant functions
Author(s): Bhagavatula Vijaya Kumar; Abhijit Mahalanobis; Sewoong Song; S. Richard F. Sims; Jim F. Epperson
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Paper 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.

Paper Details

Date Published: 1 May 1992
PDF: 8 pages
Opt. Eng. 31(5) doi: 10.1117/12.56169
Published in: Optical Engineering Volume 31, Issue 5
Show Author Affiliations
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Abhijit Mahalanobis, Martin Marietta Electronic Systems (United States)
Sewoong Song, Univ. of Maryland (United States)
S. Richard F. Sims, U.S. Army Aviation and Missile Command (United States)
Jim F. Epperson, Univ. of Alabama in Huntsville (United States)

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