【摘要】 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。更多还原

【Abstract】 Based on the multi-scale analysing idea of wavelet transform,pointing at the character that the mine microseimic signals have wide frequency bands and abundant spectrum compositions.This paper presents a filtering method for signal and noise in different freiuency scope,using this method,we can separate the noise from the signal and decompose the signals which have different fiequency bands in order to filter the signals.The results of experiment show that the wavelet transform method can get rid of the noise in the microseismic signals and it can be applied to the pre-processing of microseimic signals effectively.更多还原