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Using decimated autocorrelations to compute the inverse wavelet
at a coarser sampling interval and zero-filling the inverse
wavelet to return to
the original sampling interval
is an effective method to sharpen a wavelet, thus increasing
resolution and reducing computation cost.
Doing
lowpass filtering on the zero-filled inverse wavelet to remove its
duplicate spectrum gives an even better decon result at the expense
of increasing computation cost.
It remains for further research how to extract the *white reflectivity
series * from the data after wavelet deconvolution.

** Next:** ACKNOWLEDGMENTS
** Up:** Mo: Wavelet decon
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Stanford Exploration Project

11/18/1997