riskfig8.m

老外写的小波变换的工具箱

global x_use x_length x_name sigchoice  fig_hand3 PlotFig
global x_fft x_haar x_symm x_coif x_daub x_noise
global x_tmp signal_name
% fig_hand3 = figure;
%         set( fig_hand3, 'Name', 'Exact Risk Plots', ...
%          'units','normal','position',[0.25,0,0.75,1.05],...
%                'PaperUnits','normalized','PaperPosition',...
%                 [0.0,0,1.0,1.0],'PaperOrientation','landscape');
disp('***  This produces Figure 8 of the Paper ***');
%clf;
%orient landscape;
x_length=1024;
x0 = log2(x_length/2);
lambdMO = [1.47391  1.66865 1.85982 2.04748 2.23203 2.41405 ...
           2.59427 2.77343 2.95218 3.13093 3.30975];
% Minimax Optimal lamda derived in Donoho-Johnstone, Biometrika 94
n0 = 2.^(6:16);
for i = 1:length(n0),
    if x_length == n0(i)
      lambdMO = lambdMO(i);
    end
    if any(x_length == n0) == 0
      disp('Do not know lambda-MO for this length of signal');
    end
end
sigchoice = zeros(1,10); sigchoice(7) = 1;sigchoice(6) = 1;
      nplot = sum(sigchoice);
b = 1:10; b = b(sigchoice == 1);
  for i = 1:nplot,
    Gen_signal(b(i),'No');
   % figure(fig_hand3);
   x_symm = FWT_PO(x_tmp,0,MakeONFilter('Symmlet',8));
[x_symm_ideal_low,x_raw_low,x_symm_hard_low,x_symm_proj_low] = ...
      CalcThreshScaleRisk(x_symm,x_length,0.02);
[x_symm_ideal_low,x_raw_low,x_symm_soft_low,x_symm_proj_low] = ...
      CalcThreshScaleRisk(x_symm,x_length,0.02,'Soft');
   [x_symm_ideal_low,x_raw_low,x_symm_softmo_low,x_symm_proj_low] = ...
      CalcThreshScaleRisk(x_symm,x_length,0.02,'Soft',lambdMO);
[x_symm_ideal_high,x_raw_high,x_symm_hard_high,x_symm_proj_high] = ...
      CalcThreshScaleRisk(x_symm,x_length,0.1);
[x_symm_ideal_high,x_raw_high,x_symm_soft_high,x_symm_proj_high] = ...
      CalcThreshScaleRisk(x_symm,x_length,0.1,'Soft');
[x_symm_ideal_high,x_raw_high,x_symm_softmo_high,x_symm_proj_high] = ...
      CalcThreshScaleRisk(x_symm,x_length,0.1,'Soft',lambdMO);
      Scale = 0:log2(x_length);
ymin = min([min(x_raw_low) min(x_symm_softmo_low) ...
            min(x_symm_hard_low) min(x_symm_softmo_high) ...
            min(x_symm_soft_low) min(x_raw_high) ...
            min(x_symm_hard_high) min(x_symm_soft_high)]); 
ymax = max([max(x_raw_low) max(x_symm_softmo_low) ...
            max(x_symm_hard_low)  max(x_symm_softmo_high) ...
            max(x_symm_soft_low) max(x_raw_high) ...
            max(x_symm_hard_high) max(x_symm_soft_high)]); 
delta = 0.05*(ymax-ymin);
   subplot(nplot,2,(2*(i-1)+1)),
      plot(Scale,x_symm_hard_low);
      hold on;v = axis;axis([v(1) v(2) (ymin-delta) (ymax+delta)]);
      plot(Scale,x_symm_soft_low,'--');
      plot(Scale,x_symm_softmo_low,'-.');
      plot(Scale,x_raw_low,':');
      xlabel('Threshold Scale');ylabel('log10(Risk)');
titlestr = ['#' num2str(b(i)) ' ' signal_name ': sigma=0.02'];
      title(titlestr);
      hold off;
   subplot(nplot,2,(2*(i-1)+2)),
      plot(Scale,x_symm_hard_high);
      hold on;v = axis;axis([v(1) v(2) (ymin-delta) (ymax+delta)]);
      plot(Scale,x_symm_soft_high,'--');
      plot(Scale,x_symm_softmo_high,'-.');
      plot(Scale,x_raw_high,':');
titlestr = ['#' num2str(b(i)) ' ' signal_name ': sigma=0.02'];
      title(titlestr);
      hold off;
end

displength = num2str(x_length);
disp('***************************************************************');
disp(['*      The length of the signal used =  '  displength '      *']);
disp('*                Basis used :  Symmlet 8                      *');
disp('***************************************************************');
ax=axes('Units','Normal','Position',[0,0,1,0.2],'Visible','off',...
'FontSize',8);
% legend('-','Hard lambdaD','--','Soft lambdaD','-.','Soft lambdaMO',...
% ':','Raw Y');
    
    
 
 
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