基于子波变换的自适应滤波

Adaptive filtering based on the wavelet transform

研究了基于子波变换的子波子带自适应滤波．它不仅加快了最小均方（ＬＭＳ）算法的收敛速度，有利于降低计算复杂度，而且改善了收敛性能．给出的谱线增强器的模拟结果证实了上述分析．

The performance analysis of the subband adaptive digital filter (SBADF) based on the wavelet transform is presented. The convergence behaviour of the LMS algorithm for the optimum weight vector solution, where the mean square error (MSE) is minimized, is better than that of the conventional adaptive filter, and the computational complexity of the algorithm is reduced, too. Computational simulations of SBADF applied to the adaptive line enhancer are given to verify the above argument.