Difference of amplitude after FFT calculation

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show am 25 Mär. 2021
Kommentiert: show am 29 Mär. 2021
The amplitude value obtained after FFT calculation is different from the amplitude of the original function.
I want to get the right amplitude value.
How can I get the right amplitude value?
Why does it make a difference?
clc
clear
close all
format long
t = 0:0.001:10;
y = 10*sin(2*pi()*10*t);
figure(1)
plot(t,y)
y_fft = fft(y);
f = (0:length(y)-1)/0.001/length(y);
figure(2)
semilogy(f,abs(y_fft))
xlim([0,100])

Akzeptierte Antwort

David Goodmanson
David Goodmanson am 25 Mär. 2021
Bearbeitet: David Goodmanson am 25 Mär. 2021
Hi SO,
The y array consists of (supposedly) just one frequency, but aside from the scaling your plot shows spread-out frequency content. With correct scaling you could get close to the correct answer but it would never be quite right since there is energy outside of the main peak at f = 10. The reason is that the value of y(t) at t=0 and the value of y(t) at t=10 are both zero, so one point is repeated and you do not have a true periodic sine wave.
The code below omits the last point, t = 10. Then to scale the fft correctly in this situation, the fft is divided by the number of points. Ater that, you get two sharp spikes, at +10 Hz and at the fft version of -10 Hz (which appears in the upper half of the frequency array). The amplitude for each of those is exactly 5 as it should be. That's because of the factor of 2 in
sin(w*t) = ( exp(i*w*t)-exp(i*w*t) )/(2*i)
N = 1e4;
delt = 1e-3;
t = (0:N-1)*delt;
y = 10*sin(2*pi()*10*t);
figure(3)
plot(t,y)
y_fft = fft(y)/N;
f = (0:N-1)/(N*delt);
figure(4)
plot(f,abs(y_fft))
  1 Kommentar
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show am 29 Mär. 2021
Thank you for answering.
The problem has been resolved.

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