Applications of Two-d Deconvolution

نویسنده

  • Jon Claerbout
چکیده

We've found that Burg's two-dimensional lter ooers too much freedom in producing lateral predictions, since the predictions within a trace appear to overwhelm the lateral predictions. Instead, we x the lter coeecients along the output column so the form of the two-dimensional lter becomes equivalent to that of the FX-decon operator. The ability to control the length of this lter in time allows two-dimensional deconvolution to produce a result superior to the FX-decon result. A symmetry for operators calculated forward and backward in space has been found, but it only applies for lters with no free elements in the output column of that lter. The lter shapes of other two-dimensional deconvolution lters are compared and lter shapes that might allow new applications are outlined.

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تاریخ انتشار 2007