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When the wavelet is known, the ICP decon completely retrieves that
components of the reflectivity series that share the same
spectral region with the wavelet. In addition, the
ICP algorithm keeps the same amplitude level in the whole
frequency domain, resulting in a recovered time series that
has the same sharpness as the original reflectivity sequence.
When the wavelet is unknown the final result
will depend on the choice of the initial wavelet, and when
the minimum-phase equivalent of the trace is chosen to start the
process, the ICP decon corresponds to a slightly sharper version
of the predictive deconvolution.
Although a mathematical proof to assure convergence is still required,
the method reached convergence in all the tests performed with the
use of different choices for the starting wavelet.

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Stanford Exploration Project

1/13/1998