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How to transform time series into frequency dimain and obtain amplitude and phase

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Ass
Ass on 14 Jul 2020
Commented: Ass on 15 Jul 2020
clc;
clear all;
load data.dat;
time=0:2:3600;
time=time';
nn_ss=data(1:1800,1:88);
for jj=1:88
ss_nw = nn_ss(:,jj);
Ts = mean(diff(time)); % sampling time
Fs=500; %sampling frequency ** It should be 1/Ts
Fn=Fs/2; %Nyquist frequency
L=length(time);
Y=fft(ss_nw);
fts=Y/L; %Normalized fft
P_amp2=abs(Y/L);
P_amp(:,jj) = P_amp2(1:L/2+1);
P_amp(2:end-1,jj) = 2*P_amp(2:end-1,jj);
f=Fs*(0:(L/2))/L;
phase(:,jj)=angle(Y).*180/pi;
phase1(:,jj)=phase(1:L/2+1);
%phase1(:,jj)=phase(1:901,jj);
ly=length(Y);
fs=(-ly/2:ly/2-1)/ly*Fs;
end
I have use this code for FFT of the time series with dimension 1800 by 88. But, when I have transformed it into frequency domain I got frequency domain half of the time series and its corresponding amplitude and phase values. But, it should same length to time series. But, according to code it is not coming. Please help me to correct the code

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Accepted Answer

dpb
dpb on 14 Jul 2020
There's really nothing wrong with the code; you have followed the example from the documentation for FFT and the following lines
P_amp2=abs(Y/L);
P_amp(:,jj) = P_amp2(1:L/2+1);
P_amp(2:end-1,jj) = 2*P_amp(2:end-1,jj);
f=Fs*(0:(L/2))/L;
return the positive frequency half of the estimated PSD and normalized it to match total power in the double-sided PSD (P_amp2) by the factor of 2 applied to all frequencies except DC and Fmax which are not replicated in the two-sided spectrum.
The frequency vector f is for the one-sided PSD estimate.
If you really want the two-sided PSD, then don't take the positive half elements in P_amp; just use P_amp2 and the corresponding double-sided frequency vector. At that point, for convenience since apparently wouldn't need them, could rename P_amp2 to P_amp and fs to f.
BTW, the FFT and other MATLAB routines are vectorized, you can compute all the results using the original array and dispense with the for loop...
nn_ss=data(1:1800,1:88); % if size(data)==>1800,88, then this is not needed; use the data array
Ts = mean(diff(time)); % sampling time (by column)
Fs=500; %sampling frequency ** It should be 1/Ts
Fn=Fs/2; %Nyquist frequency
L=length(time);
Y=fft(nn_ss); % FFT() by column
fts=Y/L;
P_amp=abs(Y/L); % 2-sided PSD estimate
phase=angle(Y).*180/pi;
ly=length(Y);
fs=(-ly/2:ly/2-1)/ly*Fs;
The result will be NxM PSD (2-sided) by column same as if had used for...end loop

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