Plotting FFT Spectrum using Square Wave
12 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Oscar Rodrigues
le 7 Juil 2019
Commenté : Star Strider
le 7 Juil 2019
I am trying to plot an FFT spectrum but the graph stops at half of the window I'm looking to acquire.

This is the code that I have used:
% clc;
% clear all;
t = 0:(1/1e6):(10/1e5);
x = 2.5*square(t*2*pi*1e5,50);
N = length(x);
fs = 10e5;
figure(1)
plot(t,x)
X = abs(fft(x));
bins = (0:(N-1));
f = (bins*fs)/N;
intN = ceil(N/2);
figure(2)
plot(f(1:intN),X(1:intN))
xlabel('Frequency (Hz)')
ylabel('Amplitude');
title('FFT Spectrum of Square Wave with 100kHz Frequency and 50% Duty Cycle');
xlim([0 1e6])
set(gca,'YTickLabel',[]);
0 commentaires
Réponse acceptée
Star Strider
le 7 Juil 2019
Two problems:
First: ‘fs’ is the inverse of the sampling interval, or 1E+6.
Second, your code is correct although your plot is not. You can only plot to the Nyquist frequency (½ the sampling frequency), so your xlim call should be:
xlim([0 1e6/2])
Also, you need to normalise the fft result by dividing it by the length of your data vector:
X = abs(fft(x))/N;
and then multiply it by 2 to get the approximately correct amplitude in the plot.
Those changes result in a correct fft plot.
2 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Fourier Analysis and Filtering 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!