wedgeletapprox.m

来自「beamlet变化的工具箱」· M 代码 · 共 36 行

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%  WedgeletApprox -- Approximate image by wedgelets% 	Usage% 		fit = WedgeletApprox(x,lambda)% 	Inputs% 		x		n*n array, n dyadic% 		lambda		scalar, determining threshold% 		W		Wedgelet Transform of x (optional)% 	Outputs			% 		fit		approximation to x% 		W		Wedgelet Analysis of x% 	Description% 		This routine solves the problem% 			min_P || y - Ave{y|P} ||_2^2 + lambda^2/2 #{P}% 	minimizing the complexity-penalized sum of squares% 	over all beamlet-decorated partitions of the image% 	square.  It is suggested that % 			lambda = sqrt{4 log(n)} sigma% 	is a good choice for data % 			x = f + z% 	where f is a noiseless object with smooth sharp% 	beams and z is N(0,sigma^2 I).%%% Part of BeamLab Version:200% Built:Friday,23-Aug-2002 00:00:00% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail beamlab@stat.stanford.edu%%% Part of BeamLab Version:200% Built:Saturday,14-Sep-2002 00:00:00% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail beamlab@stat.stanford.edu%

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