地震地磁观测与研究2023，Vol.44Issue(5)：29-36,8.DOI:10.3969/j.issn.1003-3246.2023.05.004
CEEMDAN和小波包方法在地震信号降噪中的应用
Application of CEEMDAN and wavelet packet analysis in noise reduction of seismic signals
摘要
Abstract
Seismic signals are typical non-stationary random signals that are susceptible to site conditions and the surrounding environment,resulting in noise interference.In this paper,the adaptive noise-complete ensemble empirical mode decomposition(CEEMDAN)method is used to analyze and preprocess the seismic data,which decomposes the seismic signal into a series of intrinsic modal functions(IMF)with different characteristic time scales.The autocorrelation calculation of each IMF component was carried out,the noisy IMF component was screened,and the noisy IMF component was denoised by the soft threshold wavelet packet method.The denoised component and the noise-free component are reconstructed to reduce noise interference and improve data quality.关键词
CEEMDAN/小波包/降噪Key words
CEEMDAN/wavelet packet/noise reduction引用本文复制引用
梁阿全,高双玲..CEEMDAN和小波包方法在地震信号降噪中的应用[J].地震地磁观测与研究,2023,44(5):29-36,8.基金项目
黑龙江省地震局重点项目(项目编号:202307) （项目编号:202307）
