基于小波变换的自适应阈值消噪法  

Adaptive Threshold De-noising Based on Wavelet Transform

作　　者：陈华丽[1] 李裕能[2] 

机构地区：[1]武汉科技大学信息科学与工程学院,湖北武汉430081 [2]武汉大学电气工程学院,湖北武汉430072

出　　处：《电力科学与工程》2003年第3期8-10,共3页Electric Power Science and Engineering

摘　　要：信号消噪与恢复是信号处理的一项前期的、最基本的工作,其目的是尽可能地复原被噪声(或干扰)污染的信号,消噪效果直接影响到后期的信号处理。介绍了几种常用的小波消噪方法,分别是小波分解与重构法、非线性小波变换阈值法、平移不变量法和小波变换模极大值法。针对非线性小波变换阈值法提出了一种自适应阈值消噪法。通过仿真实验证明,该方法不仅消噪效果好,而且可用于对含有时变的噪声信号进行消噪。Denoising and restoring is a primary and basic work of signal processing. Its aim is to restore signals polluted by noise. Its outcome affects the subsequent signal processing. Some denoising methods on wavelet are discussed, such as decomposing and reconstructing method on wavelet, nonlinear threshold denoising method on wavelet, the translation invariant denoising method and the wavelet transform modulus maximum method. Adaptive threshold denoising on wavelet transform is preferred to nonlinear threshold denoising measure on wavelet. Simulation result shows that the denoising result is improved and it can be used in the signal processing with noise variation as time.

关 键 词：信号处理 小波变换 自适应阈值消噪法 信号消噪 

分 类 号：TN911.7[电子电信—通信与信息系统]