Title :
Application of state variable techniques to optimal feature extraction
Author :
Lainiotis, D. ; Henderson, T.L.
Abstract :
Optimal continuous linear feature extraction for the binary Gaussian pattern recognition or detection problem necessitates finding the double orthogonal expansion of the observable random process under hypothesis Hi, i = 1, 2. State variable techniques are utilized here to yield efficient computer-implementable procedures for obtaining the double orthogonal expansion.
Keywords :
Application software; Eigenvalues and eigenfunctions; Equations; Feature extraction; Impedance; Laboratories; Microwave technology; NASA; Pattern recognition; Transmission line theory;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1968.6840
