recursive filter preconditioning

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

## ABSTRACTMissing 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. |

- Introduction
- Theory of missing data interpolation
- Examples
- Discussion
- Conclusions
- Acknowledgments
- REFERENCES
- About this document ...

Stanford Exploration Project

10/9/1997