wedgeletapprox.m
来自「beamlet变化的工具箱」· M 代码 · 共 36 行
M
36 行
% 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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