Ten lectures on wavelets
A new class of wavelet networks for nonlinear system identification
IEEE Transactions on Neural Networks
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This paper propose a method for identification of complex engineering systems using wavelet transform. This transform is chosen because it can provide a well localization both in time and in frequency. The method is applied to an electrohydraulic system that drives a shaking table. The identification is made using real signals obtained from experimental tests.