1887
Volume 27 Number 1
  • E-ISSN: 1365-2478

Abstract

A

In contrast to the conventional deconvolution technique (Wiener‐Levinson), the spike‐, predictive‐, and gap‐deconvolution is realized with the help of an adaptive updating technique of the prediction operator. As the prediction operator will be updated from sample to sample, this procedure can be used for time variant deconvolution. Updating formulae discussed are the adaptive updating formula and the sequential algorithm for the sequential estimation technique. This updating technique is illustrated using both synthetic and real seismic data.

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2006-04-27
2024-04-16
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References

  1. Alam, M. A., and Sage, A. P., 1974, Error and sensitivity analysis of stochastic approximation algorithms for linear system identification, IEEE-Transactions Automatic ControlAC‐19, 810–815.
    [Google Scholar]
  2. Alam, M. A., 1974, A sequential adaptive deconvolution algorithm based on Kalman‐filter approach, SEG meeting in Dallas.
    [Google Scholar]
  3. Berkhout, A. J., and Zaanen, P. R., 1976, A comparison between Wiener filtering, Kalman filtering, and deterministic least squares estimation, Geophysical Prospecting24, 141–197.
    [Google Scholar]
  4. Buttkus, B., 1979, Coherency weighting—an effective approach to the suppression of long leg multiples, Geophysical Prospecting27, 29–39.
    [Google Scholar]
  5. Gibson, J. D., Melsa, J. L., and Jones, S. K., 1975, Digital speech analysis using sequential estimation techniques, IEEE‐Transact. Acoustics, Speech, and Signal Processing ASSP23, 362–368.
    [Google Scholar]
  6. Griffiths, L. G., Smolka, F. R., and Trembly, L. D., 1977, Adaptive deconvolution: A new technique for processing time‐varying seismic data, Geophysics42, 742–759.
    [Google Scholar]
  7. Griffiths, L. J., and Prieto‐Diaz, R., 1977, Spectral analysis of natural seismic events using autoregressive techniques, IEEE-Transact. Geoscience ElectronicsGE‐15, 13–25.
    [Google Scholar]
  8. IEEE‐Transactions on Automatic Control
    IEEE‐Transactions on Automatic Control , 1974, Special issue on system identification and time-series analysis, AC‐19, Nr. 6.
    [Google Scholar]
  9. Kashyap, T. L., 1974, Estimation of parameters in a partially whitened representation of a stochastic process, IEEE-Transact. Automatic ControlAC‐19, 13–21.
    [Google Scholar]
  10. Kunetz, G., and Fourmann, J. M., 1968, Efficient deconvolution of marine seismic records, Geophysics33, 412–423.
    [Google Scholar]
  11. Mehra, R. K., 1971, Approaches to adaptive filtering, IEEE-Trans. Automatic Control, AC‐10, 693.
    [Google Scholar]
  12. Morgan, D. R., and Craig, S. E., 1976, Real time adaptive linear prediction using the least mean square gradient algorithm, IEEE‐Transactions on Acoustics, Speech, and Signal ProcessingASSP‐24, 494–506.
    [Google Scholar]
  13. Peacock, K. L., and Treitel, S., 1969, Predictive deconvolution: theory and practice, Geophysics34, 155–169.
    [Google Scholar]
  14. Sorenson, H. W., 1966, Advances in control systems, theory and applications, Leondes , (ed), New York , Academic Press, v. 3, 219–292.
    [Google Scholar]
  15. Wang, R. J., and Treitel, S., 1971, Adaptive signal processing through stochastic approximation, Geophys. Prosp.19, 718–728.
    [Google Scholar]
  16. Wang, R. J., 1977, Adaptive predictive deconvolution of seismic data, Geophys. Prosp.25, 342–381.
    [Google Scholar]
  17. Widrow, B., McCool, J. M., Lavimore, M. G., and Johnson, C. R., 1976, Stationary and nonstationary learning characteristics of the LMS‐adaptive filter, Proceedings of the IEEE64, 1151–1161.
    [Google Scholar]
  18. Zypkin, J. S., 1972, Grundlagen der Theorie lernender Systeme, VEB Verlag Technik Berlin.
    [Google Scholar]
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  • Article Type: Research Article

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