This paper presents a method for the classification of nonlinear systems through the study of the free oscillations in the time-frequency plane, when the measured data are affected by fractal noise of the Wiener type. Nonconservative SDOF (Single Degree Of Freedom) oscillators described by a nonlinear second order differential equation are considered. The nonlinearity is due to a nonlinear function of the state variable, which produces free oscillations with a timevariant spectrum. The method used for the classification is a substantial modification of a basic algorithm proposed by the same authors for noise-free data. In presence of fractal noise improved performances are obtained with the new algorithm.
A method for nonlinear system classification in the time-frequency plane in presence of fractal noise / GALLEANI L.; LO PRESTI L.. - 1(1999), pp. 149-153. ((Intervento presentato al convegno IEEE-EURASIP workshop on Nonlinear Signal and Image Processing (NSIP'99) tenutosi a Antalya (TUR) nel June 20-23, 1999.
Titolo: | A method for nonlinear system classification in the time-frequency plane in presence of fractal noise |
Autori: | |
Data di pubblicazione: | 1999 |
Abstract: | This paper presents a method for the classification of nonlinear systems through the study of th...e free oscillations in the time-frequency plane, when the measured data are affected by fractal noise of the Wiener type. Nonconservative SDOF (Single Degree Of Freedom) oscillators described by a nonlinear second order differential equation are considered. The nonlinearity is due to a nonlinear function of the state variable, which produces free oscillations with a timevariant spectrum. The method used for the classification is a substantial modification of a basic algorithm proposed by the same authors for noise-free data. In presence of fractal noise improved performances are obtained with the new algorithm. |
ISBN: | 9755181334 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11583/1663124