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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE