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自适应滤波的研究新方向
引用本文:徐蕾 孙金生. 自适应滤波的研究新方向[J]. 控制与决策, 1999, 14(1): 8-13
作者姓名:徐蕾 孙金生
作者单位:南京理工大学自动控制系
基金项目:南京理工大学科研发展基金
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液方法,并引出了基于离散小波变换(DWT)的自适应滤波。变换城自适应滤波大大改善了时域自适应滤波的速率,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个有广阔的应用前景,是未来自适应滤波发展的方向。

关 键 词:自适应滤波 时域LMS 小波变换 滤波理论

New Development in Adaptive Filtering
Xu Lei,Sun Jinsheng,Wang Zhiquan. New Development in Adaptive Filtering[J]. Control and Decision, 1999, 14(1): 8-13
Authors:Xu Lei  Sun Jinsheng  Wang Zhiquan
Abstract: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.
Keywords:adaptive filtering   time-domain LMS   discrete Fourier transform   discrete cosine transform   discrete wavelet transform  
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