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I presented a nonlinear two-slope extension to Claerbout's
single-slope estimation method. Compared to Fomel's approach,
, my method is less
accurate and theoretically sensitive to aliasing, but also faster. I demonstrated very
encouraging results in the application of signal/noise separation, where the two slopes
in the data were associated to signal and noise steering filters.
Stanford Exploration Project
11/11/2002