1887
Volume 24, Issue 2
  • ISSN: 0812-3985
  • E-ISSN: 1834-7533

Abstract

The EMSLAB data set (Jones , 1989) has been processed using time-frequency methods to estimate the apparent resistivities and phases. When compared to the results from traditional methods, the time-frequency analysis has produced different apparent resistivity estimates for the noisier component, while the phases and the apparent resistivity estimates for the component with the stronger signal are very similar. This is consistent with the bias being due to nonstationary effects, and could indicate that this type of analysis will significantly improve the quality of magnetotelluric data.

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/content/journals/10.1071/EG993163
1993-06-01
2026-01-13
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References

  1. Chant, I.J. and Hastie L.M. (1992). ‘Time-frequency analysis of magnetotelluric data’. Geophys. J. Int. 111, 399-413.
  2. Chave, A. D. and Thomson, D. J. (1992). ‘Some comments on magnetotelluric response function estimstion’. J. Geophys. Res. 94, 14215-14225.
  3. Cohen, L. (1967). ‘Generalized phase space distributions’. J. Math. Phys. 7, 181-186
  4. Dekker D. L. and Hastie L. M. (1981). ‘Sources of error and bias in a magnetotelluric depth sounding of the Bowin Basin’. Phys. Earth Plan. Int. 25, 219-225.
  5. Harris, F. (1992). ‘Techniques and limitations of spectrum analysis with the DFT’. Time-Frequency Signal Analysis, Boashash (ed), Halsted Press, ISBN 0-582-71286-6.
  6. Jones, A. G., Chave, A. D., Egbert, G., Auld, D. and Bahr, K. (1989). ‘A comparison of techniques for magnetotelluric response function estimation’. J. Geophys. Res. 94, 14201-14213.
  7. Zhao, Y., Atlas, L.E., and Marks, R.J., (1990). ‘The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals’. IEEE Trans. Acoustic. Speech Signal Process. 38, 1084-1091.
/content/journals/10.1071/EG993163
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  • Article Type: Research Article
Keyword(s): EMSLAB; magnetotelluric; time-frequency

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