小波变换在电力电子装置信号消噪中的应用

Wavelet Transform in the Application of Power Electronic Device Signal De-Noising

对于电力电子装置信号中的噪声,传统的利用傅里叶去噪方法很难将有用的高频部分与噪声造成的高频干扰而区分开来。小波变换能够解决这一难题,从而能够很好的还原信号。利用小波消噪的四种阈值去噪方法对含噪信号进行处理,然后对比这四种方法的信噪比和平方根误差后选出最好的去噪方法。MATLAB仿真结果表明应用小波变换对电力电子装置信号消噪处理,能够很好地还原原信号特征。

For the noise in the signal of power electronic devices,the method of traditional Fourier denoising can＇t distinguish the useful high frequency part from the high frequency interference that noise poses.Wavelet transform can be a very good solution to this problem,which can restore signal very well.Use four of wavelet de-noising threshold denoising method to deal with noise signal,then select the best denoising method by comparing four methods of signal to noise ratio and square root error.The MATLAB simulation results show that the application of wavelet transform for signal de-noising processing power electronic devices is able to restore the original signal.