📄 calcrpstattree.m
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% CalcRPSTatTree -- Put Packet Table Statistics into RPTree % Usage% RPTree = CalcRPStatTree(ARPkt,D,Entropy[,EntPar])% Inputs% ARPkt 2-d packet table, N1*N2*(D1+1)*(D2+1), can be COMPLEX valued% D D = [D1,D2] maximum depth of splitting% Entropy type of entropy to record in tree: options are% 'Entropy' -- Coifman-Wickerhauser% 'Log' -- sum log |th_i| % 'l^p' -- sum |th_i|^p, 0 < p < 2, p = par% 'N(eps)' -- #>= eps, eps = par% 'Risk' -- sum min(th_i^2,eps^2), eps=par% 'Sum' -- sum th_i% 'SURE' -- SURE(Thresholding), thresh = par% EntPar extra parameter, depends on type of entropy$% Outputs% RPTree ARtree filled with entropy numbers. % ARTree(ARindx(d1,d2,bx,bx,N)) contains entropy of rect(d1,d2,bx,bx)%%% 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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