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The really interesting issue is whether this method
works for data that is inadequately sampled in *x*,
i.e. when the spectrum of the underlying wavefield is
nonvanishing above the spatial Nyquist frequency of the sampled field.
I think it might work
if the spectrum has energy below spatial Nyquist as well as above.
The method that chooses *p*
might be insensitive to
signal above spatial Nyquist
because temporal frequencies
below Nyquist are all agreed on the same *p*
whereas temporal frequencies above the spatial Nyquist
fit different values of *p*.
After the wavefields are interpolated,
perhaps by repetitive interlacing,
the question of aliasing no longer arises.
So, if you can bootstrap yourself up to the right solution,
I think you will stay there.

** Next:** INTERPOLATION WITH SPATIAL PREDICTORS
** Up:** INTERPOLATION WITH P.D.E. DIP
** Previous:** PDE to reject two
Stanford Exploration Project

1/13/1998