Next: Patch size
Up: Adaptive matching
The standard approach to match the estimated multiples directly to the
data and obtain the primaries by subtraction of the matched multiples
often leads to weakened primaries and/or contamination with residual multiples.
By exploiting the estimates of both, multiples and
primaries, we prevent the matching algorithm from attempting to match weak
residual primaries along with the multiples. Furthermore, we obtain
simultaneous estimates of both the primaries and the multiples that are guaranteed
to be consistent with the original data.
As with most inversions, the performance of the algorithm depends critically
on the choice of the inversion parameters. There are no guaranteed combinations of
parameters that work in every case, but we now discuss the most important: