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📄 contents.m

📁 一种基于压缩感知技术的图像重建程序
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% SparseLab GenFigures Directory for HDCPNPD Demo
%
% This is the GenFigures directory housing .m files for the
% figures for the HDCPNPD demo.
%
%              .m files in this directory
%
%   Contents.m           -    This file
%   HDCPNPDFig1.m            -    Generates the first figure
%   HDCPNPDFig2.m            -    Generates the second figure
%   HDCPNPDFig3.m            -    Generates the third figure
%   HDCPNPDFig4.m            -    Generates the fourth figure
%   HDCPNPDFig5.m            -    Generates the fifth figure
%   HDCPNPDFig6.m            -    Generates the sixth figure
%   HDCPNPDFig7.m            -    Generates the seventh figure
%   HDCPNPDFig8.m            -    Generates the eight figure
%   HDCPNPDFig9.m            -    Generates the ninth figure
%   HDCPNPDFig10.m           -    Generates the tenth figure
%   HDCPNPDFig11.m           -    Generates the final figure
%   CalcXnu.m                -    Finds X(nu)
%   GenRhoDiff.m             -    calls PsiNet.m
%   MillsM.m                 -
%   PsiCom.m                 -    Calculate Exponents of Combinatorial
%                                 Factor
%   PsiExt.m                 -    Calculate PsiExt as defined in Sec 4.1
%   PsiFace.m                -    Calculate Exponents of Number of Faces
%   PsiInt.m                 -    Calculate Exponents of Internal Angle
%   PsiNet.m                 -    Calculate net exponent from Sec 3.4
%   PsiSect.m                -    Calculate Exponents of Number of Sections
%   SeriesMillsSolve.m       -    Solves the equation M(s) = rho
%   shannon.m                -    Shannon entropy using natural logs
%   yFroms.m                 -    Calculates the y dual to s in eqn 6.9
%   zeta1.m                   -    zeta1(s) is the logarithmic derivative of
%                                 2Phi(2), eqn 6.9

%
% 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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