Adaptive system identification based on generalized wavelet decomposition
An adaptive structure based on a wavelet packets filter bank is proposed. The system identification of a finite impulse response is investigated by utilizing the presented adaptive scheme. In order to attain the stabilized convergence of the adaptive filters, a regularization parameter is introduced for each wavelet packet to minimize the mean squares error of the adaptive filter weights. The effectiveness of the proposed approach is demonstrated through examples.
scientific article; zbMATH DE number 761774
scientific article