modelisationanalysespectrale/rossignol/parametrique/parametrique_MUSIC_fluteircam.m

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2019-10-15 21:55:29 +00:00
%rand('seed',100*sum(clock));
%fe=32000;
%f0=440;
%tsig=1280;
%xx=cos(2*pi*f0/fe*[1:tsig]+2*pi*rand(1,1))+cos(2*pi*(f0+40)/fe*[1:tsig]+2*pi*rand(1,1))+cos(2*pi*2*f0/fe*[1:tsig]+2*pi*rand(1,1))+cos(2*pi*(2*f0+40)/fe*[1:tsig]+2*pi*rand(1,1));
%xx=cos(2*pi*f0/fe*[1:tsig]+2*pi*rand(1,1))+1e-2*randn(1,tsig);
%pp=2;
%MM=10;
% returns sampling frequency in Hz and data
[xx,fe] = audioread('fluteircam.wav');
xx = xx';
pp=4;
MM=210;
lenW = 0.04*fe;
maxFreqs = [];
for i = 0:floor((length(xx)-lenW+1)/lenW)
xxsub = xx(1,lenW*i+1:lenW*(i+1));
[ff, mydsp] = mymusic_matlab(xxsub,pp,MM,fe);
mydspP = mydsp(floor(length(mydsp)/2):end,:);
ffP = ff(:,floor(length(mydsp)/2):end);
[maxi,ind] = max(mydspP);
maxFreq = ffP(ind);
maxFreqs = [maxFreqs maxFreq];
end
figure()
tt = (lenW/2:lenW:length(xx))/fe;
plot(tt,maxFreqs)
xlabel('temps (s)')
ylabel('fréquences (Hz)')
title('Frequency max DSP MUSIC signal flureircam (p = 2, M = 200)')
%%% figures
% figure();
% clf;
% grid on;
% hold on;
% plot(ff,mydsp,'linewidth',2);
% xlabel('frequency (in Hz)','fontsize',20);
% ylabel('magnitude','fontsize',20);
% title('zoom MUSIC');
% xlim([400 506]);
% hold off;
% figure();
% clf;
% grid on;
% hold on;
% plot(ff,mydsp,'linewidth',2);
% xlabel('frequency (in Hz)','fontsize',20);
% ylabel('magnitude','fontsize',20);
% title('MUSIC');
% hold off;
% drawnow;
% % montrer intéret paramétrique par rapport à FFT
% figure();
% fftxx = abs(fftshift(fft(xx))); % fftshift permet de passer de la fft entre 0 et fe à la fft entre -fe/2 et fe/2
% freq = linspace(-fe/2,fe/2,length(fftxx));
% plot(freq,fftxx);
% grid on;
% xlabel('fréqunce (Hz)');
% ylabel('amplitude (u.a.)');
% title('fft');
%
% figure();
% xx = [xx zeros(1,32768-length(xx))]; % 2^15 = 32768
% fftxx = abs(fftshift(fft(xx)));
% freq = linspace(-fe/2,fe/2,length(fftxx));
% plot(freq,fftxx);
% grid on;
% xlabel('fréqunce (Hz)');
% ylabel('amplitude (u.a.)');
% title('fft zero padding');