Synopsis
		sfltftn < in.rsf > out.rsf basis=basis.rsf mask=mask.rsf weight=weight.rsf inv=n verb=n nw= dw= w0=0. rect=10 rectf=5 niter=100 alpha=0. shift#=

Parameters
		float alpha=0. frequency adaptivity   string basis= auxiliary output file name   float dw= frequency step   bool inv=n [y/n] if y, do inverse transform   string mask= data weight (auxiliary input file name)   int niter=100 number of inversion iterations   int nw= number of frequencies   int rect=10 smoothing radius (in time, samples)   int rectf=5 smoothing radius (in frequency, samples)   string shift#= shifting of the smoothing stencil in #-th dimension /auxiliary input file/   bool verb=n [y/n] verbosity flag   float w0=0. first frequency   string weight= model weight (auxiliary input file name)