摘要
由于地震信号的非平稳特性等特点,在对地震数据进行处理时常常需要采用时频分析技术来精确地描述信号频率随时间变化的特征。研究了在地震信号处理中应用经验模态分解(Empirical Mode Decomposition,简称EMD)的方法,介绍和对比了目前已有的主流方法,以解决地震信号处理中的端点效应问题。
Due to the non-stationary nature of seismic signals,it is often necessary to employ time-frequency analysis techniques to accurately describe the frequency variation of signals over time.This paper investigates the application of Empirical Mode Decomposition(EMD)and Hilbert-Huang Transform(HHT)methods in seismic signal processing,and introduces and compares the existing mainstream methods,for addressing the endpoint effect issue in seismic signal processing.
作者
贺泽星
薛宇彤
郭永刚
苏立彬
HE Zexing;XUE Yutong;GUO Yonggang;SU Libin(College of Water Conservancy and Civil Engineering,Tibet Agriculture and Animal Husbandry University,Linzhi 860000,China;Tibet Civil Water Resources and Hydropower Engineering Technology Research Center,Linzhi 860000,China)
出处
《云南水力发电》
2024年第2期72-75,共4页
Yunnan Water Power
基金
西藏自治区科技重点研发计划项目(XZ202201ZY0034G)
国家自然科学基金重点支持项目(U21A20158)。
关键词
地震信号
端点效应
HHT
EMD分解
seismic signal
end effect
Hilbert-Huang Transform
Empirical Mode Decomposition
