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  • 1
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    The deconvolution of phase-shifted wavelets (1982)
    In:  Geophysics, Minsk, Conseil de l'Europe, vol. 47, no. 3, pp. 1285-1294, pp. B02405, (ISSN: 1340-4202)
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    Publication Date: 1982
    Keywords: Deconvolution
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    BIBLIOGRAPHY SEISMOLOGY
  • 2
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    Applied geophysical inversion (1994)
    In:  Geophys. J. Int., Münster, 3, vol. 116, no. 32, pp. 5-11, pp. L11609, (ISBN 0-471-26610-8)
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    Publication Date: 1994
    Keywords: Review article ; Inversion ; Data analysis / ~ processing ; GJI
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    BIBLIOGRAPHY SEISMOLOGY
  • 3
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    Recovery of the acoustic impedance from reflection seismograms (1983)
    In:  Geophysics, Kyoto, AGU, vol. 48, no. 2, pp. 1318-1337, pp. L24302, (ISSN: 1340-4202)
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    Publication Date: 1983
    Keywords: Inversion ; Impedance ; Acoustics
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    BIBLIOGRAPHY SEISMOLOGY
  • 4
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    Root-mean-square velocities and recovery of the acoustic impedance (1984)
    In:  Geophysics, Kyoto, AGU, vol. 49, no. 2, pp. 1653-1663, pp. L24302, (ISSN: 1340-4202)
    Details
    Publication Date: 1984
    Keywords: Inversion ; Impedance ; Velocity ; Acoustics
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    BIBLIOGRAPHY SEISMOLOGY
  • 5
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    Wavelet estimation and deconvolution (1981)
    In:  Geophysics, Kyoto, AGU, vol. 46, no. 2, pp. 1528-1542, pp. L24302, (ISSN: 1340-4202)
    Details
    Publication Date: 1981
    Keywords: Deconvolution ; Wavelet processing
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    BIBLIOGRAPHY SEISMOLOGY
  • 6
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    Inversion of geophysical data using an approximate inverse mapping (1991)
    In:  Geophys. J. Int., Kyoto, AGU, vol. 105, no. 2, pp. 325-353, pp. L24302, (ISSN: 1340-4202)
    Details
    Publication Date: 1991
    Keywords: Inversion ; Data analysis / ~ processing ; GJI
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    BIBLIOGRAPHY SEISMOLOGY
  • 7
    Electronic Resource
    Electronic Resource
    Inversion of time-domain electromagnetic data for a horizontally layered Earth (1993)
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 114 (1993), S. 0 
    Details
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: Time-domain electromagnetic (TEM) data are inverted to produce a conductivity model composed of horizontal layers of constant conductivity. The data can be values of the time decay of the vertical component of the magnetic field, or of its time derivative, measured at points either inside or outside a rectangular transmitter loop. Our inversion allows many more layers than there are data. This means that the constructed conductivity model not only fits the data to the required level, but also possesses particular characteristics. By suitable choice of the objective function to be minimized, our constructed model may have minimum structure in some well-defined sense and/or it may be close to some known background model. Our inversion algorithm works directly in the time domain. This requires fractionally more computing time than the alternative approach of transforming the data to the frequency domain before inversion. However, working in the time domain prevents distortion of the data and their associated measurement errors which may arise during the transformation. Also, the effects of the full transmitter current waveform can easily be incorporated by convolution in the time domain. Our inversion is applied to data from an environmental survey and the results are shown to compare favourably with a nearby well-log.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-246X.1993.tb06977.x
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  • 8
    Electronic Resource
    Electronic Resource
    The pole-pole 3-D Dc-resistivity inverse problem: a conjugategradient approach (1994)
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 119 (1994), S. 0 
    Details
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: The pole-pole 3-D DC-resistivity inverse problem is solved by converting the inverse problem into an objective-function optimization problem, using the adjoint equation to compute the gradient of the objective function, and using a conjugategraient minimization. Two examples of the application of the resulting inversion algorithm are given. First, a large synthetic data set is inverted, and second, the inversion algorithm is used to invert E-SCAN field data of relevance to mineral exploration.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-246X.1994.tb00921.x
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  • 9
    Electronic Resource
    Electronic Resource
    The similitude equation in magnetotelluric inversion (1991)
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 106 (1991), S. 0 
    Details
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: The similitude equation for electromagnetic induction represents an exact integral relationship between the conductivity model and field measurements, and has been suggested as a basis for the inversion of magnetotelluric data. In this note, inversion of the similitude equation is compared to linearized inversion and found to be inadequate in that it implicitly neglects first-order terms.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-246X.1991.tb03910.x
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  • 10
    Electronic Resource
    Electronic Resource
    Approximate sensitivities for the electromagnetic inverse problem (1996)
    Oxford, UK : Blackwell Publishing Ltd
    Geophysical journal international 126 (1996), S. 0 
    Details
    ISSN: 1365-246X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: We present an approximate method for generating the Jacobian matrix of sensitivities required by linearized, iterative procedures for inverting electromagnetic measurements. The approximation is based on the adjoint-equation method in which the sensitivities are obtained by integrating, over each cell, the scalar product of an adjoint electric field (the adjoint Green's function) with the electric field produced by the forward modelling at the end of the preceding iteration. Instead of computing the adjoint field in the multidimensional conductivity model, we compute an approximate adjoint field, either in a homogeneous or layered half-space. Such an approximate adjoint field is significantly faster to compute than the true adjoint field. This leads to a considerable reduction in computation time over the exact sensitivities. The speed-up can be one or two orders of magnitude, with the relative difference increasing with the size of the problem. Sensitivities calculated using the approximate adjoint field appear to be good approximations to the exact sensitivities. This is verified by comparing true and approximate sensitivities for 2- and 3-D conductivity models, and for sources that are both finite and infinite in extent. The approximation is sufficiently accurate to allow an iterative inversion algorithm to converge to the desired result, and we illustrate this by inverting magnetotelluric data to recover a 2-D conductivity structure. Our approximate sensitivities should enable larger inverse problems to be solved than is currently feasible using exact sensitivities and present-day computing power.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1365-246X.1996.tb05282.x
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