利用小波变换识别山西测震台网震相

摘要

In order to effectively improve the accuracy of seismic phase identification in Shanxi Seismic Network, considering with the characteristics of seismic signals in Shanxi Seismic Network,of higher interference and weaker energy, wavelet transformation is used in seismic phase analyzed. It is proved that wavelet transformation is an effective method to identify the seismic phase in Shanxi area. The wavelet transformation method can effectively suppress the high frequency noises, which are common interference in seismic signals, and improve the precision of phase identification. For the weak phase, wavelet transformation can decompose the signal in multiple levels andthen identify phase level by level.%为有效提高山西测震台网震相识别精度,在论述小波变换原理基础上,结合台网记录的震相特征,针对干扰大、能量弱的震相,采用小波变换进行分析.常见噪声干扰相对地震信号频率较高,小波变换能够有效压制噪声,提高震相识别精度;对于能量较弱的震相,可以利用小波变换分解信号,按频率逐层进行震相识别.分析认为,小波变换是识别山西地区震相的有效方法.