How to compute the fourier transform for a signal u(t) over frequency band [-10,10]?

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I have a signal u(t) already defined, but I need to compute the fft and plot the magnitude and phase of the fourier transform. HOW DO I DO THIS?
I TRIED FFT(U,[-10,10]), BUT DOESN'T WORK.

Respuestas (3)

Dr. Seis
Dr. Seis el 14 de En. de 2012
Say you have the following:
N = 1024; % Number of samples
dt = 0.01; % Seconds per sample
u_time = randn(1,N);
Then, you would have:
Nyquist = 1/(2*dt);
df = 1 / (N*dt);
f = -Nyquist : df : Nyquist-df;
U_freq = fftshift(fft(u_time));
And you can plot this data between -10 and 10 Hertz by:
figure;
plot(f , abs(U_freq)*dt, 'b-'); hold on;
plot(f , angle(U_freq),'r-'); hold off;
xlim([-10 10]);
legend('magnitude','phase');
However, the above formulation assumes that your data are even. I would go further and try to pad your time data with zeros to next power of 2 (i.e., above is 2^10). Let me know if you have questions about doing that.

Walter Roberson
Walter Roberson el 13 de En. de 2012
freqs = fft(U);
plot(real(freqs),'b*-');
hold on
plot(imag(freqs),'r+:');
  4 comentarios
MINAS104
MINAS104 el 14 de En. de 2012
from -10Hz to 10Hz.
Could you also do this?
plot(angle(fft(u)) %phase
plot(abs(fft(u)) %magnitude
Walter Roberson
Walter Roberson el 16 de En. de 2012
So -10 Hz is a signal that goes backwards in time??

Iniciar sesión para comentar.


Honglei Chen
Honglei Chen el 13 de En. de 2012
Depending on your sampling rate and the number of points in your signal, you may want to also explore the following function
doc goertzel
doc czt

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