contents.m

来自「一种基于压缩感知技术的图像重建程序」· M 代码 · 共 46 行

M
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% SparseLab MSNVENO DenFigures Directory
%
% This diretory contains .m files for figure reproduction for the "Model Selction
% when the Number of Variables Exceeds the Number of Observations" demo.
%
%              .m files in this directory
%
%   Contents.m                -    This file
%   GenRhoDiff.m              -    calls PsiNet.m
%   MSNVENOFig1.m             -    Script for reproducing figure 1
%   MSNVENOFig2.m             -    Script for reproducing figure 2
%   MSNVENOFig3.m             -    Script for reproducing figure 3
%   MSNVENOFig4.m             -    Script for reproducing figure 4
%   MSNVENOFig5.m             -    Script for reproducing figure 5
%   MSNVENOFig6.m             -    Script for reproducing figure 6
%   MSNVENOFig7.m             -    Script for reproducing figure 7
%   MSNVENOFig8.m             -    Script for reproducing figure 8
%   MSNVENOFig9.m             -    Script for reproducing figure 9
%   MSNVENOFig10.m            -    Script for reproducing figure 10
%   MSNVENOFig11.m            -    Script for reproducing figure 11
%   MSNVENOFig.m              -    Script for figure reproduction
%   PlotSforfixeddelta.m      -    labelling script
%   PlotSforfixeddelta_lsoracle.m  labelling script
%   PsiCom.m                  -    Calculate Exponents of Combinatorial
%                                  Factor
%   PsiExt.m                  -    Calculate PsiExt as defined in Sec 4.1
%                                  of HDCPNPD
%   PsiFace.m                 -    Calculate Exponents of Number of Faces                         
%   PsiInt.m                  -    Calculate Exponents of Internal Angle
%   PsiNet.m                  -    Calculate net exponent from Sec 3.4 of
%                                  HDCPNPD
%   SeriesMillsSolve.m        -    Solves the equation M(s) = rho
%   shannon.m                 -    Shannon entropy using natural logs


%
% Copyright (c) 2006. Victoria Stodden
%  

%
% Part of SparseLab Version:100
% Created Tuesday March 28, 2006
% This is Copyrighted Material
% For Copying permissions see COPYING.m
% Comments? e-mail sparselab@stanford.edu
%

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