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Proceedings Paper

Optimality of Projection Synthetic Discriminant Functions
Author(s): B.V.K. Vijaya Kumar
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Paper Abstract

Firm analytical foundations are laid in this paper for quantifying the performance of a class of synthetic discriminant functions (SDFs) known as the equal correlation peak (ECP) filters. It is shown that while the conventional ECP filters are optimum for white input noise, they are not optimal for colored input noise. A modified ECP filter is proposed to optimize the performance for colored input noise. General expressions are also derived to quantify the loss of optimality of the conventional ECP filters.

Paper Details

Date Published: 11 December 1985
PDF: 10 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950787
Show Author Affiliations
B.V.K. Vijaya Kumar, Carnegie-Mellon University (United States)


Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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