📄 transformplot.m
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global x_use x_length x_name sigchoice fig_hand1 PlotFig
global x_fft x_haar x_symm x_coif x_daub x_noise
global x_tmp signal_name
figure(fig_hand1);
clg; orient landscape;
disp('**** This produces Fig. 2 of paper ****');
if (sum(sigchoice == 1) == 1),
x_fft = fft(x_use);
x_fft2 = x_fft(1:x_length/2);
subplot(223),plot(linspace(0,1,x_length/2),log10(abs(x_fft2)+eps));
ylabel('log10(Abs(Coeffs))');
titlestr = ['Signal ' x_name ': Fourier'];
title(titlestr);
x_haar = FWT_PO(x_use,0,MakeONFilter('Haar'));
subplot(221),PlotWaveCoeff(x_haar,0,0);
titlestr = ['Signal ' x_name ': Haar'];
title(titlestr);
x_symm = FWT_PO(x_use,0,MakeONFilter('Symmlet',8));
subplot(222),PlotWaveCoeff(x_symm,0,0);
titlestr = ['Signal ' x_name ': Symmlet 8'];
title(titlestr);
x_fft = fliplr(sort(log10(abs(x_fft)+eps)));
x_haar = fliplr(sort(log10(abs(x_haar)+eps)));
x_symm = fliplr(sort(log10(abs(x_symm)+eps)));
ymax = max([max(x_fft) max(x_haar) max(x_symm)]);
ymin = min([min(x_fft) min(x_haar) min(x_symm)]);
subplot(224),plot(linspace(0,1,x_length),x_fft,':');
hold on;
v = axis;
axis([0 1 ymin ymax]);
plot(linspace(0,1,x_length),x_haar);
plot(linspace(0,1,x_length),x_symm,'--');
y1 = ymax-0.2*(ymax-ymin);
title(['Sorted Spectra for Signal' signal_name]);
legend('-','Haar','--','Symm8',':','Fourier');
hold off;
else
nplot = sum(sigchoice);
b = 1:10; b = b(sigchoice == 1);
for i = 1:nplot,
Gen_signal(b(i),'No');
figure(fig_hand1);
x_fft = fft(x_tmp);
x_fft2 = x_fft(1:x_length/2);
subplot(nplot,4,(4*(i-1)+3)),
plot(linspace(0,1,x_length/2),log10(abs(x_fft2)+eps));
ylabel('log10(Abs(Coeffs))');
titlestr = ['Signal ' signal_name ': Fourier'];
title(titlestr);
x_haar = FWT_PO(x_tmp,0,MakeONFilter('Haar'));
subplot(nplot,4,(4*(i-1)+1)),PlotWaveCoeff(x_haar,0,0);
titlestr = ['Signal ' signal_name ': Haar'];
title(titlestr);
x_symm = FWT_PO(x_tmp,0,MakeONFilter('Symmlet',8));
subplot(nplot,4,(4*(i-1)+2)),PlotWaveCoeff(x_symm,0,0);
titlestr = ['Signal ' signal_name ': Symmlet 8'];
title(titlestr);
x_fft = fliplr(sort(log10(abs(x_fft)+eps)));
x_haar = fliplr(sort(log10(abs(x_haar)+eps)));
x_symm = fliplr(sort(log10(abs(x_symm)+eps)));
ymax = max([max(x_fft) max(x_haar) max(x_symm)]);
ymin = min([min(x_fft) min(x_haar) min(x_symm)]);
subplot(nplot,4,(4*(i-1)+4)),plot(linspace(0,1,x_length),x_fft,':');
hold on;
v = axis;
axis([0 1 ymin ymax]);
plot(linspace(0,1,x_length),x_haar);
plot(linspace(0,1,x_length),x_symm,'--');
y1 = ymax-0.2*(ymax-ymin);
title(['Sorted Spectra']);
legend('-','Haar','--','Symm8',':','Fourier');
hold off;
end
end
end
%% Part of Wavelab Version 850% Built Tue Jan 3 13:20:42 EST 2006% This is Copyrighted Material% For Copying permissions see COPYING.m% Comments? e-mail wavelab@stat.stanford.edu
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