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It may seem difficult to estimate the plane slope px for a
Lax-Wendroff filter of the form (10) because px appears
non-linearly in the filter coefficients. However, using the analytical
form of the filter, we can easily linearize it with respect to the
plane slope and set up a simple iterative scheme:
|  |
(11) |
where k stands for the iteration count, and
is found
from the linearized equation
|  |
(12) |
where
is the derivative of
with respect to
px. To avoid unstable division by zero when solving equation
(12) for
, Adding a regularization equation
|  |
(13) |
where
is a small scalar regularization parameter, I solve
system (12-13) in the least-square sense to
obtain a smooth slope variation
at each iteration. In
practice, iteration process (11) quickly converges to a
stable estimate of px.
Next: Examples
Up: Fomel: 3-D plane waves
Previous: Factorizing plane waves
Stanford Exploration Project
5/1/2000