I want to represent the PSD of three signals on a waterfall plot. How can this be done?
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
I want to represent 3 signals on a waterfall plot to see how the signal changes over time
fs = 1000; % Sampling frequency
t = (0:fs)/fs; % One second worth of samples
A = [1 2]; % Sinusoid amplitudes (row vector)
A1 = [3 4];
A2 = [5 6];
f = [150;140]; % Sinusoid frequencies (column vector)
f1 = [120;100];
f2 = [100;90];
xn = A*sin(2*pi*f*t) + 0.1*randn(size(t));
xn1=A1*cos(2*pi*f1*t) + 0.8*randn(size(t));
xn2=A2*cos(2*pi*f2*t) + 0.5*randn(size(t));
Hs = spectrum.periodogram;
psd=psd(Hs,xn,'Fs',fs,'NFFT',1024,'SpectrumType','onesided')
Hs1 = spectrum.periodogram;
psd1=psd(Hs1,xn,'Fs',fs,'NFFT',1024,'SpectrumType','onesided')
Hs2 = spectrum.periodogram;
psd2=psd(Hs2,xn,'Fs',fs,'NFFT',1024,'SpectrumType','onesided')
waterfall(psd,psd1,psd2)
0 commentaires
Réponse acceptée
bym
le 9 Déc 2012
First of all, do not name a variable the same as a function! Change the the first psd variable to
psd0 = psd(Hs,xn,'Fs',fs,'NFFT',1024,'SpectrumType','onesided');
then make the call to waterfall like this:
waterfall([psd0.data psd1.data psd2.data]')
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Parametric Spectral Estimation dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!