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Proceedings Paper

Vector dynamic object state recognition method based on using a set of phase portraits
Author(s): Anatoly A. Boriskevich; Mikhail N. Dolgikh
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Paper Abstract

The dynamic object state recognition method for increasing reliability of visual and quantitative analyses of local phase portrait features is proposed. The method has the raised sensitivity to local changes of an initial signal and sufficient stability to action of measuring noises by means of using the integrated characteristics of analytical signal. The results of proposed method modeling for an electrocardiosignal are given.

Paper Details

Date Published: 17 July 1998
PDF: 8 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327119
Show Author Affiliations
Anatoly A. Boriskevich, Institute of Engineering Cybernetics (Belarus)
Mikhail N. Dolgikh, Institute of Engineering Cybernetics (Belarus)


Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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