Effacer les filtres
Effacer les filtres

How can I implement the fft function on both signals.

2 vues (au cours des 30 derniers jours)
Mehmet Özgür Güzel
Mehmet Özgür Güzel le 7 Sep 2022
Commenté : dpb le 7 Sep 2022
% generate a waveform
f0 =100;
fs=1000;
pw = 0.1;
pri = 1;
npulses = 100;
s = cos(2*pi*f0*(0:1/fs:pw)); % it can be any other waveform of your choice
s(round(fs*pri)) = 0; % PRI
s = repmat(s, npulses, 1); % npulses
% echo: delayed signal
tau = 0.3;
ntau = round(fs*tau);
amp = 0.5;
e = amp* circshift(s, ntau);
% add noise
sigma = 0.1;
r = s + e + sigma*randn(size(s));
y = pulsint(r);
Fn = fs/2
Fn = 500
Fco = 125; % Choose A Frequency > 0 & < fs/2
r_filt = lowpass(r, Fco, fs, 'ImpulseResponse','iir'); % Design An Elliptic Filter & Filter 'r'
figure
plot((0:length(s)-1)/fs, r_filt)
title('Filtered')
  1 commentaire
dpb
dpb le 7 Sep 2022
What both signals?
As to the Q?, it's simple enough; either call fft twice, once for each desired input; this, of course, means you've got to create two new variable for the results (or use one for whatever purposes desired first before computing the second).
Alternatively, and "the MATLAB way" would be to put both signals into an array by column and then call FFT() -- it is vectorized to treat each column as a variable.

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