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Curvelet-based ground roll removalYarham, Carson, Boeniger, Urs, Herrmann, Felix J. January 2006 (has links)
We have effectively identified and removed ground roll through a twostep
process. The first step is to identify the major components of the
ground roll through various methods including multiscale separation,
directional or frequency filtering or by any other method that identifies
the ground roll. Given this estimate for ground roll, the recorded
signal is separated during the second step through a block-coordinate
relaxation method that seeks the sparsest set for weighted curvelet coefficients
of the ground roll and the sought-after reflectivity. The combination
of these two methods allows us to separate out the ground roll
signal while preserving the reflector information. Since our method is
iterative, we have control of the separation process. We successfully
tested our algorithm on a real data set with a complex ground roll and
reflector structure.
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