摘要
基于地震渐变信号在起始点附近信号高频分量比较丰富,但信号幅度较小的特点,本文选取高斯线调频小波作为基函数,研究了不同小波参数和信号参数对其变换结果的影响规律,找出了直接利用变换峰值进行震相识别的误差来源,提出了一种从背景噪声中实现渐变地震震相识别的有效方法——定尺度小波变换比方法,给出了模拟数字信号和实际地震震相识别的实例.
Based on the characteristics of gradual change style seismic signal onset which has more high frequency signal components but less magnitude, this paper selects Gauss linear frequency modulation wavelet as base function to study the change characteristics of Gauss linear frequency modulation wavelet transform with difference wavelet and signal parameters, analyzes the error origin of seismic phases identification on the basis of Gauss linear frequency modulation wavelet transform, puts forward a kind of new method identifying gradual change style seismic phases with background noise which is called fixed scale wavelet transform ratio, and presents application examples about simulation digital signal and actual seismic phases recording onsets identification.
出处
《地震学报》
CSCD
北大核心
2002年第6期607-616,共10页
Acta Seismologica Sinica
基金
国家自然科学基金(40074007)
山东省自然科学基金(Y2000E08)
地震科学联合基金(198061)共同资助.
关键词
震相识别
高斯线调频小波
小波变换
渐变地震信号
噪声
Gauss linear frequency modulation wavelet
wavelet transform
gradual change style seismic signal onset identification
