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中文摘要：
对矿震震相的自动识别是矿震信号分析和处理的主要目标之一。基于小波变换的多尺度分析思想，采用对信号进行小波处理后的小波系数代替原始信号，应用包含在小波变换系数中的信号偏振信息，提出了确定三分向的矿震信号P波和S波震相的小波变换方法。通过对矿震数据进行小波变换得到不同尺度下的P波和S波识别因子，进而形成确定P波和S波的特征函数，从而确定P波和S波的到时。通过用小波变换对木城涧矿矿震的实际资料进行处理分析，实现了P波和S波到时的自动拾取，取得了满意的结果。
英文摘要：
Automatic recognition of seismic identification is one of the main aims of seismic signal analysis and control. Based on multi-scale analysis of wavelet transform and original signal replaced by wavelet coefficient after wavelet disposal and signal polarization information in wavelet transform coefficient applied, a wavelet transform method for confirming P and S wave seismic with 3 components is put forward. P and S wave identification factors under different scales are obtained after wavelet transform of seismic data, then the characteristic function for confirming arriving time of P and S Wove is set up. Actual information of seismic data in Muchengjian Colliery is dealt with by wavelet transform and the arriving time of P and S wave is automatically picked up, which is an approving result.
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