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The AMO operator can be steeply dipping, and thus
antialiasing is critical to produce high-quality results.
To apply antialiasing, we use a simple low-pass filtering of the input trace.
The bandwidth of this low-pass filtering varies spatially along the
operator and is a function of the local time dips of the operator.
The time dips can be computed analytically according to the following
equations:
|  |
(8) |
| (9) |
Next: Operator aperture
Up: INTEGRAL IMPLEMENTATION OF AMO
Previous: Transformation of midpoint axes
Stanford Exploration Project
6/14/2000