I am not certain what you want to do.
After you load the data and select the sections you want to analyse, convert the data in ‘Wanted’ to column vectors (if they are not column vectors already), then do something like this (assuming that they are now a matrix of column vectors):
Fs = ...; % Sampling Frequency
Fn = Fs/2; % Nyquist Frequency
L = size(Wanted,1);
NFFT = 2^nextpow2(L); % For Efficiency
FTW = fft(Wanted, NFFT)/L;
Fv = linspace(0, 1, NFFT/2+1)*Fn; % Frequency Vector
Iv = 1:numel(Fv); % Index Vector
figure
plot(FV, abs(FTW(Iv,:))*2) % All Channels
grid
xlabel('Frequency (Hz)')
ylabel('Magnitude')
NrSp = size(FTTW,2); % Number Of Subplots
for k = 1:NrSp
subplot(NrSp, 1, k)
plot(Fv, abs(FTW(Iv,k)*2)
xlabel(Frequency (Hz)')
ylabel('Magnitude')
title(sprintf('Column #%2d', k)
end
That may be a bit more efficient. I leave that to you to determine.
% C = websave('testCODE','https://www.mathworks.com/matlabcentral/answers/uploaded_files/1194378/testCODE.m');
% type(C)
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