Title :
Adaptive filtering based on wavelet transform
Author :
Fengshi, Chen ; Xuejiang, Duan
Author_Institution :
Dept. of Meas. & Control Eng., Xidian Univ., Xi´´an, China
Abstract :
The performance analysis of a subband adaptive digital filter (SBADF) based on the wavelet transform is provided. While the convergence behaviour of the LMS algorithm to the optimum weight vector solution is better than that of the conventional adaptive filter, the computational complexity of the algorithm is reduced too. Computational simulations of the SBADF applied to an adaptive line enhancer are given to verify the above argument
Keywords :
adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; digital filters; filtering theory; least mean squares methods; optimisation; wavelet transforms; LMS algorithm; adaptive line enhancer; computational complexity; convergence behaviour; optimum weight vector solution; performance analysis; simulations; subband adaptive digital filter; wavelet transform; Adaptive filters; Computational complexity; Digital filters; Eigenvalues and eigenfunctions; Performance analysis; Signal processing algorithms; Signal resolution; Surface waves; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770249
