MSMiss - Multiscale missing data interpolation (N-dimensional)

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

Fills missing data by mimimizing the data power after convolution.

from history	integer array	n	reads n1 , n2 , n3 , ...
from aux (filt)	integer	ns	number of scales
	integer array	jump	comma separated list of scales, e.g. 1,2,4
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

Modules: msmis2.r90 , mshelix.r90 , bound.r90