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Low-velocity noises on shot records
are often not fully suppressed by stacking
because the noises are spatial aliased.
Routine field arrays are not perfect
and the noise is often extremely strong.
Chapter 8 (Missing Data) in my textbook,
Claerbout (1992a)
shows that two-dimensional filters have some ``magical''
properties regarding aliasing.
With this and (f,x)-decon in mind
I set out to design some data-adaptive anti-noise filters.
It turned out to be much easier than I expected
and on the first try
I got good results on all all six field profiles tested.
I have not yet tweaked the many adjustable parameters.
As you inspect these
deconvolved profiles from different areas of the world
with different recording methods, land and marine,
think about how the stacks should be improved by the deconvolution.
Next: THEORY AS RELATED TO
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Stanford Exploration Project
11/17/1997