In this article we propose to use rational wavelet system transfer functions (as defined in Pati, (1992)) for approximating the linear dynamic part. The selection of the linear filters is based on results developed in the theory of wavelets in signal processing and allows to build up a constructive modeling strategy. This procedure also leads to a tailored identification structure of the linear part that has two important features: the capability of time-frequency location and the design of the linear dynamic part taking into account the a priori knowledge of the system.
Wavelets And Filter Banks By Strang And Nguyen.pdfl
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