\n \n \n \n \n \n

\n Synopsis
		sfatm2 < in.rsf > out.rsf nfw1= nfw2=nfw1 alpha= boundary=n verb=n type=

1D filter (nfw2=1); 2D filter (otherwise)
\nmedian filter (alpha=0.5); mean filter (alpha=0.)
\n\n

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\n Parameters
		\n \n \n \n   float alpha= \t0.0 <= alpha <= 0.5: median filter (alpha=0.5); mean filter (alpha=0.) \n \n \n\n \n \n \n   bool boundary=n [y/n] \tif y, boundary is data, whereas zero \n \n \n\n \n \n \n   int nfw1= \tfilter-window length in n1 direction (positive and odd integer) \n \n \n\n \n \n \n   int nfw2=nfw1 \tfilter-window length in n2 direction (default=nfw1) \n \n \n\n \n \n \n   string type= \t[rectangular,cross] 2-D window type, the default is rectangular \n \n \n\n \n \n \n   bool verb=n [y/n] \tverbosity flag \n \n \n

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