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(F-x) prediction filtering (Canales, 1984) is a widely used method for random noise reduction. Recently, Soubaras (1994) showed that it is an inconsistent method and that the correct way to extract a predictable signal from noise is to compute the noise by applying the autodeconvolved prediction error filter (PEF) to the data rasher than the PEF itself.