小波实时阈值消噪在信号分析中的应用

Application of the Real Time Wavelet Shrinkage in Signal Analysis

针对小波阈值法不能实现在线消噪的缺陷,提出了一种基于滑动窗口思想的实时小波消噪算法。通过在M atlab中建立小波实时消噪算法S函数,并进行了含白噪声的矩形波信号消噪仿真实验,计算结果表明,小波实时阈值算法显著降低了数据信号中的噪声水平,为时变、非线性复杂系统实时消噪提供了一种新的方法。

A real time wavelet de-noising arithmetic based on a moving window was established because wavelet threshold method can not handle signal online. A S-function of real time wavelet de-noising arithmetic based on Matlab was set up, the simulation test for the de-noising of a rectangular wave signal containing white noise was made. The results show that the real time wavelet de-noising reduces the noise in the data signal. It provides a new approach for the real-time de-noising of variable and non-linear complex system.