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Cadzow filtering has previously been applied to constant‐frequency slices along one spatial dimension to remove random noise from seismic traces. Here I extend Cadzow filtering to two or more spatial dimensions. The resulting method is superior to both f‐xy prediction (deconvolution) and projection filtering, especially for very noisy data. In particular, it preserves signal better and can be made far stronger.
Stewart Trickett (Tue,) studied this question.