Optimality of Projection Synthetic Discriminant Functions

B.V.K. Vijaya Kumar

doi:10.1117/12.950787

11 December 1985 Optimality of Projection Synthetic Discriminant Functions

B.V.K. Vijaya Kumar

Proceedings Volume 0579, Intelligent Robots and Computer Vision IV; (1985) https://doi.org/10.1117/12.950787
Event: 1985 Cambridge Symposium, 1985, Cambridge, United States

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.

Citation Download Citation

B.V.K. Vijaya Kumar "Optimality of Projection Synthetic Discriminant Functions", Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); https://doi.org/10.1117/12.950787

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