Synopsis
		sffxynpre2 < Fin.rsf > Fou.rsf verb=n sym=n opt=y fs=n Nfrac=6.0 Ntimes=5.0 pow=0.5 niter=100 n1win=n1 n2win=nx n3win=ny r1=0.5 r2=0.5 r3=0.5 mode=0 nsx=2 nsy=2 rect#= shift#=

with frequency-axis smoothness constraint
with frequency-dependent smoothing
with arbitrarily designed smoothing strategies (to enforce the a priori constraint)
Enhanced version of sffxynpre
Reference: Huang et al. (2021).

Parameters
		float Nfrac=6.0   float Ntimes=5.0   bool fs=n [y/n] y, determine frequency-dependent smoothing   int mode=0 predictive filtering mode; default: non-stationary   int n1win=n1 first window length   int n2win=nx second window length   int n3win=ny second window length   int niter=100 number of iterations   int nsx=2 number of shifts in non-causal prediction filtering   int nsy=2 number of shifts in non-causal prediction filtering   bool opt=y [y/n] y, determine optimal size for efficiency   float pow=0.5   float r1=0.5 first overlapping ratio   float r2=0.5 second overlapping ratio   float r3=0.5 third overlapping ratio   string rect#= size of the smoothing stencil in #-th dimension /auxiliary input file/   string shift#= shifting of the smoothing stencil in #-th dimension /auxiliary input file/   bool sym=n [y/n] y, symmetric scaling for Hermitian FFT   bool verb=n [y/n] Verbosity flag