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In this Chapter, I compute diagonal preconditioning operators
(weighting functions) appropriate for least-squares recursive depth
migration.
Only considering the main diagonal of simplifies
matters significantly:
the factorization itself reduces to taking a square root, and
inverting the factors reduces to simple division. The only potential
pitfall comes with division by zero.
As well as looking at model-space weights, I also consider data-space
weighting functions derived from the operator ,and develop a framework for computing and applying both model and
data-space weights simultaneously.

** Next:** Model-space weighting functions
** Up:** Introduction
** Previous:** Preconditioning and spectral factorization
Stanford Exploration Project

5/27/2001