Open AccessTime‐frequency analysis of magnetotelluric data
Author(s) -
Chant I. J.,
Hastie L. M.
Publication year - 1992
Publication title -
geophysical journal international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 168
eISSN - 1365-246X
pISSN - 0956-540X
DOI - 10.1111/j.1365-246x.1992.tb00586.x
Subject(s) - magnetotellurics , distortion (music) , tensor (intrinsic definition) , electrical impedance , fourier analysis , geophysics , time–frequency analysis , signal (programming language) , geology , fourier transform , spectral line , magnetic field , computational physics , mathematical analysis , physics , mathematics , computer science , geometry , electrical resistivity and conductivity , telecommunications , astronomy , programming language , amplifier , radar , optoelectronics , cmos , quantum mechanics
SUMMARY The natural signal magnetotelluric (MT) and audiomagnetotelluric (AMT) geophysical prospecting methods utilize the spectra of associated time‐varying horizontal electric and magnetic fields at the Earth's surface to determine a frequency‐dependent impedance tensor. Most present methods of analysis determine the spectra using variations on the 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 not effect the impedance estimates. We use time‐frequency distribution (TFD) analysis techniques to show that this is not the case, and that the impedance tensor is affected by non‐stationary source field fluctuations. We further show that TFD analysis techniques can be used to overcome these problems and obtain stable and reliable estimates of the impedance tensor. These techniques are compared with previous techniques by using a standard data set (EMSLAB).