(in local patches)

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(in local patches)

Lomiss < in.H prec=1 niter=100 filt= [mask=] > interp.H

Fills missing data by mimimizing the data power after convolution. Works in any number of dimensions!

from history integer n1, n2, n3

from par integer prec =1 use preconditioning for missing data interpolation

integer niter =100 number of iterations

filename filt helix filter

filename mask (optional) selector for known data

from aux (sfilt, nfilt) integer dim number of dimensions

integer array w patch size

integer array k number of windows

from history	integer	n1, n2, n3
from par	integer	prec =1	use preconditioning for missing data interpolation
	integer	niter =100	number of iterations
	filename	filt	helix filter
	filename	mask (optional)	selector for known data
from aux (sfilt, nfilt)	integer	dim	number of dimensions
	integer array	w	patch size
	integer array	k	number of windows

Modules: lomis2.r90 , helix.r90 , tent.r90

Next: Lopef - Local Prediction-Error Up: SERGEY'S MAIN PROGRAM DOCS Previous: Lomiss - Missing data

Stanford Exploration Project
4/27/2004