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I demonstrate the difference in results obtained by cross-correlations
and non-stationary shaping filters on two simple examples:
firstly, a 1-D well-tie problem, and secondly a 2-D statistical
residual migration.
Both methods extend naturally to higher dimensions as well;
however, while the cost of the cross-correlation method is
proportional to the number of filter coefficients, *N*_{f},
the cost of the shaping filter method is proportional to *N*_{f}^{2},
since the number of iterations depends on the number of filter
coefficients.

** Next:** One-dimensional well-ties
** Up:** Rickett: Shaping filters
** Previous:** Shaping filers on a
Stanford Exploration Project

4/27/2000