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We describe a robust methodology for adaptive noise cancellation, based on non-stationary shaping filters and geophysical inverse theory. 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.

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