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Missing-data restoration
INTRODUCTION TO ALIASING
Relation of missing data to inversion
My model of the world
MISSING DATA IN ONE DIMENSION
Missing-data program
MISSING DATA AND UNKNOWN FILTER
Objections to interpolation error
Packing both missing data and filter into a CG vector
Spectral preference and training data
Summary of 1-D missing-data restoration
2-D interpolation before aliasing
2-D INTERPOLATION BEYOND ALIASING
Interpolation with spatial predictors
Refining both t and x with a spatial predictor
The prediction form of a two-dip filter
The regression codes
Zapping the null space with envelope scaling
Narrow-band data
A FULLY TWO-DIMENSIONAL PE FILTER
The hope method
An alternative principle for 2-D interpolation
TOMOGRAPHY AND OTHER APPLICATIONS
Clash in philosophies
An aside on theory-of-constraint equations
References
About this document ...
Stanford Exploration Project
10/21/1998