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December 15, 2018 05:45
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Simple Matlab/Octave code to take time domain signal to frequency domain using FFT. With plots. Wheee!
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% Take 100Hz signal, amplitude modulate it with 2.5KHz, then run it through FFT | |
clear ; close all; clc | |
freq1 = 100; | |
period1 = 1 / freq1; | |
w1 = 2 * pi * freq1; | |
num_tsteps = 1000; | |
num_periods = 2; | |
tstep = num_periods * period1 / num_tsteps; | |
t = 0:tstep:(num_periods * period1); | |
x1 = sin(w1 * t); plot(t, x1); | |
disp(['100Hz signal. Press any key to continue']); | |
pause; | |
freq2 = 2500; | |
period2 = 1 / freq2; | |
w2 = 2 * pi * freq2; | |
x2 = sin(w2 * t); | |
x3 = x1 .* x2; | |
plot(t, x3); | |
disp(['Modulated with 2.5KHz signal. Press any key to continue']); | |
pause; | |
n = 2**16; | |
f_s = num_tsteps / (period1*num_periods); | |
y = abs(fft(x3, n)); | |
y = fftshift(y); | |
f = f_s*(-n/2:n/2-1)/n; | |
plot(f, y); | |
axis([1500, 3500]); | |
disp(['Frequency spectrum with FFT. Press any key to continue']); | |
pause; |
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