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At present we are accustomed to estimating
statistical properties of seismic data
by computing a 2-D prediction-error filter.
This filter is needed to interpolate and extrapolate missing values.
Knowing that the prior spectral estimate is not a constant
but instead is 1/*k*_{r} suggests a procedure
that is
more efficient
statistically:
By more efficient,
I mean that a simpler model should fit the data,
a model with fewer adjustable parameters.

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Stanford Exploration Project

4/27/2000