Missing data interpolation by
recursive filter preconditioning

Sergey Fomel, Robert Clapp, and Jon Claerbout

sergey@sep.stanford.edu, bob@sep.stanford.edu, jon@sep.stanford.edu

ABSTRACT

Missing data interpolation problems can be conveniently preconditioned by recursive inverse filtering. A helix transform allows us to implement this idea in the multidimensional case. We show with examples that helix preconditioning can give a magnitude-order speedup in comparison with the older methods.