The Empirical Mode Decomposition (EMD) method and Hilbert-Huang Transform (HHT) in MT data processing
The natural magnetotelluric (MT) geophysical prospecting method utilizes the spectra of associated time-varying horizontal electric and magnetic fields at the Earths surface to determine a frequencydependent impedance tensor. Most current methods of analysis determine the spectra based on Fourier transform and therefore must assume either that the signals under analysis are stationary over the record length or that any distortion in the spectral estimations due to non-stationarity will occur in an equivalent manner in the spectra of both the electric and magnetic fields and thus have no effect on the impedance estimates. A new method for dealing with non-stationarity of the MT time series based upon empirical mode decomposition (EMD) method and Hilbert spectrum is proposed in this paper. In this paper, we use the EMD method, Hilbert transform, Marginal Hilbert spectrum and Markov Chain Monte Carlo (MCMC) approach to determine the impedance tensor. We compare the results with the traditional method at the end.
Empirical mode decomposition Hilbert-Huang transform marginal spectrum MCMC
Jin CHEN Marion JEGEN-KULCSAR
SFB 574, IFM-GEOMAR, Wischhofstr.1-3, 24148, Kiel, Germany
国际会议
The 19th International Workshop on Electromagnetic Induction in the Earth(第十九届国际地球电磁感应学术研讨会)
北京
英文
751-756
2008-10-23（万方平台首次上网日期，不代表论文的发表时间）