摘要
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.
出处
《控制与决策》
EI
CSCD
北大核心
1999年第1期8-13,共6页
Control and Decision
基金
南京理工大学科研发展基金
关键词
自适应滤波
时域LMS
小波变换
滤波理论
adaptive filtering, time-domain LMS, discrete Fourier transform, discrete cosine transform, discrete wavelet transform