1
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Adaptive Seismic Deconvolution via the Canonical Variate Analysis

, FIETE &
Pages 423-430 | Received 01 Jun 1988, Published online: 02 Jun 2015

REFERENCES

  • J M Mendel, White-noise estimators for seismic data processing in oil exploration, IEEE Trans Automat Contr, vol AC-22, pp 694–697, 1977.
  • J J Kormylo & J M Mendel, Maximum-likelihood detection and estimation of Bernoulli Gaussian processes, IEEE Trans Inf Theory, vol IT-28, pp 482–488, 1982.
  • J M Mendel, Optimal Seismic Deconvolution: An Estimation- Based Approach, New York: Academic, 1983.
  • C Y Chi & J M Mendel, Viterbi algorithm detector for Bernoulli Gaussian processes, IEEE Trans Acoustics Speech and Signal Process, vol ASSP-33, pp 511–519, June 1935.
  • A K Mahalanabis, S Prasad & KP Mohandas, Recursive decision directed estimation of reflection coefficients for seismic data deconvolution, Automatka, vol 18, pp 721–726, Nov 1982.
  • L J Griffiths, F R Smolka & L D Trembly, Adaptive deconvolution: a new technique for time-varying seismic data, Geophysics, vol 42, pp 742–759, 1977.
  • S Prasad & A K Mahalanabis, Adaptive filter structures for de- convolution of seismic signals, IEEE Trans Geoscience Electr Remr Sens, vol GE-18, pp 267–273, July 1980.
  • A K Mahalanabis, S Prasad & KP Mohandas, A fast optimal deconvolution algorithm for real seismic data using Kalman predictor model, IEEE Trans Geoscience Electr Rem Sens, vol GE-19, pp 316–322, Oct 1981.
  • A K Mahalanabis, S Prasad & K P Mohandas, Deconvolution of non-stationary seismic data using adaptive lattice filter, IEEE Trans Acoust Speech and Signal Process, vol ASSP-31, pp 591–598, June 1983.
  • A K Mahalanabis, S Prasad & K P Mohandas, On the application of the fast Kalman algorithm to adaptive deconvolution of seismic data, IEEE Trans Geoscience Elect Rem Sens, vol GE-21, pp 426–433, Oct 1983.
  • H Akaike, Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes, Ann Inst Statist Math, vol 21, pp 243–247, 1969.
  • H Akaike, Maximum likelihood identification of Gaussian autoregressive moving average models, Biometrika, vol 60, pp 255–265, Aug 1973.
  • H Akaike, Canonical correlation analysis of time series and the use of an information criterion, in System Identification: Advances and Case Studies, (R K Mehra and D G Lainiotis), Academic Press, New York, pp 27–96, 1976.
  • J V White, Stochastic state space models from empirical data, Proc Int Conf Accoustics, Speech & Signal Process, pp 243–246, April 1983.
  • B D O Anderson & J B Moore, Optimum Filtering, Prentice Hall: New Jersey (Englewood cliffs), 1979.
  • J K Tugnait, Order reduction of SISO non-minimum phase stochastic systems, IEEE Trans Automatic Control, vol AC-31, pp 623–632.
  • N Ott & H G Meder, The Kalman filter as a prediction error filter, Geophysical Prospecting, vol 20, pp 549–560, 1972.
  • J M Mendel, A quantitative evaluation of Ott and Meder's prediction error filter, Geophysical Prospecting, vol 25, pp 692–698, 1977.
  • E Tse & H Weinert, Structure determination and parameter identification of multivariable systems, IEEE Trans Automatic Control, vol AC-20, pp 603–612, Oct 1975.
  • R K Mehra, On line identification of linear dynamical systems, IEEE Trans Automatic Control, vol AC-16, pp 12–21, Feb 1971.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.