DocumentCode
901807
Title
Application of state variable techniques to optimal feature extraction
Author
Lainiotis, D. ; Henderson, T.L.
Volume
56
Issue
12
fYear
1968
Firstpage
2175
Lastpage
2176
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;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/PROC.1968.6840
Filename
1448770
Link To Document