自适应滤波的研究新方向

New Development in Adaptive Filtering

概述了自适应滤波的研究进展，回顾了时域和变换域自适应滤波方法，并引出了基于离散小波变换（ＤＷＴ）的自适应滤波。变换域自适应滤波大大改善了时域自适应滤波的收敛速率，而小波变换由于具有多分辨和时频局部化特性，在时变信号和快速变化的信号自适应滤波方面具有广阔的应用前景，是未来自适应滤波发展的方向。

This paper summarized the research progress of adaptive filtering, reviewed the time_domain and transform domain adaptive filtering, and introduced a new research direction of discrete wavelet transform (DWT) based adaptive filtering. Adaptive filtering in transform domain has greatly improved the convergence rate over the conventional time-domain one, and especially it is of the characteristics of multiresolution and time-frequency localization. So the DWT has a prosperous future in the adaptive filtering of time-varying and rapid changing signals.