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基于小波和CEEMDAN的地震信号噪声压制 被引量:4

Seismic signal noise suppression based on wavelet and CEEMDAN
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摘要 通过小波变换与CEEMDAN相结合的方式对地震信号进行降噪处理,对小波分解的高频信号进行CEEMDAN分解,再根据自相关函数剔除高频IMF分量进行重构达到提取有效反射波,压制噪声干扰的目的,最后对信号进行小波重构并进行信噪比和均方差计算。结果表明,通过小波变换和CEEMDAN降噪后,有效地减少了噪声对于地震信号的影响,对于信噪比和分辨率都有提高。 In this paper,through the combination of wavelet transform and CEEMDAN,the seismic signal is de-noised.The high-frequency signal decomposed by wavelet is CEEMDA decomposed,and the high-frequency IMF component is removed according to the autocorrelation function to reconstruct to extract the effective reflected wave and suppress the noise.For the purpose of interference suppress,the signal is finally reconstructed by wavelet and the signal-to-noise ratio and mean square error are calculated.The results show that after wavelet transform and CEEMDA noise reduction,the effect of noise on the seismic signal is effectively reduced,and the signal-to-noise ratio and resolution have been improved.
作者 殷明 方根显 YIN Ming;FANG Genxian(East China University of Technology,Nan’channg 330013,China)
出处 《物探化探计算技术》 CAS 2021年第3期282-289,共8页 Computing Techniques For Geophysical and Geochemical Exploration
基金 南昌多要素城市地质调查项目(NJZX-W-2019-106)。
关键词 地震勘探 噪声压制 小波变换 CEEMDAN seismic exploration noise suppression wavelet transform CEEMDAN
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