Synopsis
		sfltfts < in.rsf > out.rsf basis=basis.rsf mask=mask.rsf weight=weight.rsf inv=n verb=n nw= dw= w0=0. rect=10 niter=100 alpha=0.

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)   bool verb=n [y/n] verbosity flag   float w0=0. first frequency   string weight= model weight (auxiliary input file name)