||Decon in the log domain with variable gain||
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Decon in the log domain with variable gain
Jon Claerbout, Antoine Guitton, and Qiang Fu
We base deconvolution on the concept of output model sparsity.
We improve our method of log spectral parameterization
by including time-variable gain.
Since filtering does not commute with time variable gain,
gain is now done after decon (not before).
Results at two survey locations confirm the utility.
We resolve a stability issue with a long-needed regularization.
An intriguing theoretical aspect shows
that log spectral parameterization
links penalty functions to crosscorrelation
statistics of outputs.