Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

• Published in: Journal of applied geophysics Vol. 83; pp. 29 - 34
• Main Authors: Wang, Tong, Zhang, Mingcai, Yu, Qihao, Zhang, Huyuan
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier B.V 01.08.2012; Elsevier
• Subjects: Algorithms; Applied geophysics; Data processing; Decomposition; Earth sciences; Earth, ocean, space; Empirical analysis; Empirical mode decomposition (EMD); Ensemble empirical mode decomposition (EEMD); Exact sciences and technology; Exploration; Hilbert–Huang transform (HHT); Internal geophysics; Intrinsic mode functions (IMFs); Seismic engineering; Seismic phenomena; Seismic signal; Time–frequency analysis; Transforms; Time–frequency analysis; Ensemble empirical mode decomposition (EEMD); Empirical mode decomposition (EMD); Hilbert–Huang transform (HHT); Seismic signal; Intrinsic mode functions (IMFs); algorithms; Time-frequency analysis; exploration; mixing; noise; decomposition; frequency; Hilbert-Huang transform (HHT)

The Hilbert–Huang transform (HHT) is a novel signal analysis method in seismic exploration. It integrates empirical mode decomposition (EMD) and classical Hilbert transform (HT), which can express the intrinsic essence using simple and understandable algorithm. But there is a serious mode mixing phe...