子波消噪技术及其应用

Noise Elimination by Wavelets and Its Application

基于信号和噪声在小波变换下表现出的截然不同的性质，提出了一种非线性消噪方法．该方法与传统的消噪方法不同：它并非等价于信号通过一个低通或带通滤波器，而是根据信号与噪声的奇异点性质不同滤波．因而，在改善信噪比的同时，又保持相当高的时间分辨率．

Based on completely different properties of the signal and noise in wavelet transform,a nonlinear noise eliminating method is proposed.Distinguished from the traditional method,it is not equivalent to letting the signal pass a lowpass or a bandpass filter,but carrying out the filtering on the basis of the different properties of the singularity of the signal and noise.Therefore,the method proposed not only improves the signal to noise ratio but also makes the time resolution remain high.