基于小波变换的矿山微震信号滤波方法研究

Research of filtration of mine's slight shock signal on the basis of wavelet-transform

基于小波变换的多尺度分析思想,针对矿山微震信号具有频带较宽、谱成分丰富的特性,提出了对不同频率范围的信号和噪声进行滤波处理的方法。利用该方法可将噪声与信号分离以及将不同频段信号分解,从而达到滤波的目的。实验结果表明,该小波变换方法能够有效去除微震异常信号的噪声,可应用于微震信号的预处理。

According to wide frequency band and rich frequency spectrum of mine＇s slight shock signal, the filtration method based on wavelet-transform is introduced to treat signal and noise in different frequency ranges. Under application of the filtration method, noise can be separated from signal and signals of different frequency band can be decomposed thus the goal of wave filtration is achieved. Test results show the method is able to remove noise effectively from slight shock signal thus can be used to pre-treat slight shock signal.