摘要
介绍了基于阈值选取的小波去噪原理及去噪步骤。分别用傅立叶分析法和小波分析法对一加入白噪声的信号进行消噪处理,仿真结果表明,用小波进行信号的消噪可以很好的保存有用信号中的尖峰和突变部分,小波分析技术在本质上比傅立叶分析技术具有更大的优越性。对某系统的某次采样信号,分别选用强制消噪、默认阈值消噪和给定软阈值消噪三种阈值进行小波去噪,并对仿真结果进行分析比较。
The principle and steps of wavelet de-noising based on threshold selection is introduced. Fourier analysis and wavelet analysis are separately used to denoise the signal which includes white noise. The simulation results show that wavelet de-noising can preserve the spikes and mutations of useful signals, and wavelet analysis has more advantages than the Fourier analysis in nature. As example, for the signal of some system, the compulsory de-noising, the default threshold de-noising and the given soft threshold de-noising are selected to do wavelet denoising, and the simulation result is eompared and analyzed.
出处
《山西电子技术》
2009年第4期41-42,共2页
Shanxi Electronic Technology
关键词
小波分析
去噪
阈值
wavelet analysis
denoise
threshold
