中文摘要：

为提高矿山微震信号的有效识别效率,降低干扰,分析了矿山典型微震干扰信号的频谱特征,并采用小波去噪的方法对含噪微震信号进行了去噪研究.结果表明：不同干扰信号的波形特征、幅频特性和功率谱密度不同,但主频均在14Hz左右,功率谱密度多低于4 000dB;基于小波变换分层阈值确定的去噪模型,进行微震信号去噪后能够较少的抑制信号中的有用成分,含有较多的真实微震信息,能够最大程度的反映有效微震信号的特性.

英文摘要：

In order to improve the effective identification efficiency of microseismic signal and reduce its interference,spectrum characteristic of typical interference microseismic signal in coal mine was analyzed.The de-noising method based on wavelet transform was introduced to de-noise the microseismic signal with noise.The results show that though different interference signal has different waveform characteristic,amplitude-frequency characteristic and power spectral density,while the dominant frequency is about 14 Hz,and most of the power spectral densities are below 4 000 dB.The useful ingredient of microseismic signal would be resrained relatively less based on wavelet layered threshold,which contains more real microseismic information and reflects the characteristic of the effective microseismic signal at the greatest content.