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We describe a robust methodology for adaptive noise cancellation,
based on non-stationary shaping filters and geophysical inverse
Helical preconditioning ensures the non-stationary shaping
filters vary smoothly, preserving primary energy.
Results on synthetic data show that the algorithm successfully
attenuates well-predicted multiples, and to a lesser extent
poorly-predicted multiples as well.
Stanford Exploration Project