Applying the Multi-Scale Wavelet-Transform to the Identification of Non-linear Time-varying Plants

Identification models found a wide application in advanced control systems, decision support systems, play a fundamental role in any activity concerned with the signal processing process. Methods based on the wavelet-analysis are characterized by unique possibility of detail frequency analysis in the time to select "frequency-time windows". In the paper, identification methods, developed by the authors, of non-linear time-varying systems by use of the multi-scale wavelet-transform are presented.

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