Synopsis
		sfpatch < in.rsf > out.rsf n0= w= p= inv=n verb=n weight=n dim=dim0

w is window size (defaults to n1,n2,...)
p is number of patches in different dimensions (defaults to 1,1,...)

If inv=n, the number of output dimensions is twice the number of input dimensions.
If inv=y, the number of output dimensions is half the number of input dimensions.

September 2013 program of the month:
http://ahay.org/blog/2013/09/14/program-of-the-month-sfpatch/

Parameters
		int dim=dim0   bool inv=n [y/n] inverse or forward operation   ints n0= data dimensions (for inv=y) [dim]   ints p= number of windows [dim]   bool verb=n [y/n] verbosity flag   ints w= window size [dim]   bool weight=n [y/n] if y, apply weighting to each patch

Used In
		CUP          rna2d/real rna2d/shot rna2d/simple rna3d/real   EEG          marchenko/example-cluster marchenko/example   GEE          lsq/lomask   JLU          gvdseisint/vti txsopf/curvedmodel txyapf/curve txyapf/real3d txyapf/sigmoid txyspfint/curve   RSF          rsf/mona   TCCS          diffr/chan3d dlaugment/exp dlchan/testing dlchan/thin flat/comaz nmo3/azimuthtest nmo3/mcelroy ortho/orthorna seislet/gath strat/three-d timefreq/chev