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  杨敬松,王晗,姚振静,韩智明,李亚南,高强.一种小波综合阈值地震信号降噪方法[J].震灾防御技术,2018,(2):439-446, DOI:10.11899/zzfy20180218.

一种小波综合阈值地震信号降噪方法
摘要:    小波阈值方法中硬、软阈值方法是地震信号降噪常用方法,但容易造成信号中高频信息丢失导致地震误判和漏判情况发生。小波综合阈值方法继承和发展了硬、软阈值降噪方法的优点,对信号高频部分用硬阈值方法,以提高高频信号能量,对信号低频部分用软阈值方法,提高信号降噪能力的同时保证信号连续性和光滑性。利用噪声信号小波系数小和地震信号小波系数大的特征,进行雷克子波降噪仿真实验和实际地震信号降噪实验。仿真实验表明,小波综合阈值方法降噪后波形MSE值最小,且降噪后与原信号波形最近似,降噪后波形高频部分能量增强且抑制低频部分能量。最后,对实际采集的地震信号进行降噪处理,处理后信号中能量增强被压制,利用处理后的信号可得到地震的初至时间。
作者单位
杨敬松 防灾科技学院, 振动精密测量技术与仪器重点实验室, 河北三河 065201 
王晗 防灾科技学院, 振动精密测量技术与仪器重点实验室, 河北三河 065201 
姚振静 防灾科技学院, 振动精密测量技术与仪器重点实验室, 河北三河 065201 
韩智明 防灾科技学院, 振动精密测量技术与仪器重点实验室, 河北三河 065201 
李亚南 防灾科技学院, 振动精密测量技术与仪器重点实验室, 河北三河 065201 
高强 防灾科技学院, 振动精密测量技术与仪器重点实验室, 河北三河 065201 
关  键  词:综合阈值  地震信号  小波
DOI:10.11899/zzfy20180218
基金项目:河北省科学技术厅(16275417);中国地震局教师科研基金(20140104);中央高校基本科研业务费创新团队(ZY20160104);中国留学基金委共同资助
收稿日期:2017-10-16
作者简介:杨敬松,女,生于1975年。教授。研究方向:地震监测系统仪器及信号处理。E-mail:15727377985@163.com
通讯作者:
A Wavelet Comprehensive Threshold Seismic Signal Denoising Method
Abstract:      The wavelet threshold method with hard or soft threshold is common for noise reduction of seismic signal, but it is often to cause the loss of high frequency information in the signal to lead in earthquake misjudgment or missing judgment. Taking the advantages of hard threshold and soft threshold denoising method, the wavelet comprehensive threshold improves the high frequency signal energy by the hard threshold treatment, and keeps the signal smoothness and reduce the signal degradation of noise capacity while ensuring signal continuity by lowness of the signal. Based on the small wavelet coefficients of the noise signal and the large wavelet coefficients of the seismic signal, the simulation experiment of the Ricker signal and the noise reduction experiment is carried out. The simulation results show that the MSE of the wavelet comprehensive threshold is the closest to the original signal waveform after noise reduction, and the energy of the high frequency part of the waveform is reduced and the low frequency part is suppressed. Finally, taking the noise reduction of the natural waveform as an example, we found that noise signal energy is suppressed and the first time of the waveform can be obtained.
Keywords:  Comprehensive threshold  Seismic signal  Wavelet method
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