Vector dynamic object state recognition method based on using a set of phase portraits

Anatoly A. Boriskevich; Mikhail N. Dolgikh

doi:10.1117/12.327119

17 July 1998 Vector dynamic object state recognition method based on using a set of phase portraits

Anatoly A. Boriskevich, Mikhail N. Dolgikh

Proceedings Volume 3374, Signal Processing, Sensor Fusion, and Target Recognition VII; (1998) https://doi.org/10.1117/12.327119
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Anatoly A. Boriskevich and Mikhail N. Dolgikh "Vector dynamic object state recognition method based on using a set of phase portraits", Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); https://doi.org/10.1117/12.327119

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