Synopsis
		sfstltft < in.rsf > out.rsf basis=basis.rsf mask=mask.rsf weight=weight.rsf inv=n verb=n nw= dw= w0=0. lambda=1.0f

Parameters
		string basis= auxiliary output file name   float dw= frequency step   bool inv=n [y/n] if y, do inverse transform   float lambda=1.0f smoothing parameter   string mask= data weight (auxiliary input file name)   int nw= number of frequencies   bool verb=n [y/n] verbosity flag   float w0=0. first frequency   string weight= model weight (auxiliary input file name)