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

\n Synopsis
		sfsclet < in.rsf > out.rsf inv=y adj=y unit=n eps=0.1 verb=n type=

Forward transform (adj=y inv=y) m=T[d]
\nAdjoint transform (adj=y inv=n) m=T^(-1)\'[d]
\nInverse transform (adj=n inv=y/n) d=T^(-1)[m]
\n\n

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

\n Parameters
		\n \n \n \n   bool adj=y [y/n] \tif y, do adjoint transform \n \n \n\n \n \n \n   float eps=0.1 \tregularization parameter \n \n \n\n \n \n \n   bool inv=y [y/n] \tif y, do inverse transform \n \n \n\n \n \n \n   string type= \t[haar,linear,biorthogonal] wavelet type, the default is linear \n \n \n\n \n \n \n   bool unit=n [y/n] \tif y, use unitary scaling \n \n \n\n \n \n \n   bool verb=n [y/n] \tverbosity flag \n \n \n

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