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Miss - Missing data interpolation with a prescribed helix filter

Miss < in.H prec=1 niter=100 padin=0 padout=0 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
  integer padin =0 pad data beginning
  integer padout =0 pad data end
  filename filt helix filter
  filename mask (optional) selector for known data

Modules: mis2.r90 , bound.r90 , helix.r90


next up previous print clean
Next: NHelicon - Non-stationary helix Up: SERGEY'S MAIN PROGRAM DOCS Previous: Minphase - create minimum-phase
Stanford Exploration Project
4/27/2004