摘要
在噪声中如何准确地检测到信号一直是信号处理领域所关心的内容,小波变换由于具有良好的时频局部化特性,能够对各种时变信号进行有效的分解,从而较好地将信号与噪声加以分离,获得满意的去噪效果。首先介绍了小波基本理论和基于传统小波分析的信号去噪原理以及几种常用的方法。在几种方法中,因小波阐值去噪法,原理简单易行,效果较好且是研究的其他几种小波分析方法去噪处理的基础,所以本文在基于MATLAB实验平台上选取实验效果较好的小波函数,在不同阀值和阀值函数的情况下对这种方法做了较为详细地方波信号去噪比较研究。
Estimating the original signals from noise has always been an important part in the field of signal process- ing. Because of it＇s fine time-frequency localization characteristic, wavelet transform can effectively discriminate signals from noise and achieves pretty good performance. This paper chiefly studying the theory of wavelet and principle of signal denoising based on wavelet, and then studying several denoising result, moreover it is the base of other denoising methods discussed in this paper, this paper make a comparison study of square signal denoising based on MATLAB platform, using different threshold functions and threshold value, but using one wavelet function.
出处
《电气开关》
2015年第1期74-78,108,共6页
Electric Switchgear
关键词
信号处理
小波变换
去白噪音
signal processing
wavelet transform
removing white noise
