FFT plot how to plot frequency

hy, i have a set of data, time - velocity. i need to transform it in frequency-amplitude plot. so, i have this code:
load('x.txt');
X=x(:,2);
T=x(:,1);
Xf=fft(X);
l=length(Xf);
D=2*abs(Xf)/l; %%i understand this is the formula to plot exact amplitude
plot(D)
grid on
so.. i have the amplitude on Y axis, but on X axis it shows the time, it is like 2 minutes long in 500000 steps, so, many numbers, and i need to know the amplitudes for the first 50Hz. how can i have Hz= frequency on X axys, cause i don't think is the same at may time 500k+ values. p=plot(T,X)

2 Comments

See the documentation on fft (link).
You have to create a frequency vector for the plot.
andrei andrei1
andrei andrei1 on 12 Jun 2018
Edited: andrei andrei1 on 12 Jun 2018
can you tell me how? it should be function of T, obviously, and should have same length as D. frequency normally is 1/T .. but how to apply that here? maybe.. if T=1:500000 totally meaning 2 minutes, then freq=1:1/500000:1/120*500000) ?

Sign in to comment.

Answers (1)

I would create the frequency vector ‘Fv’ as:
Ts = mean(diff(T)); % Sampling Interval
Fs = 1/Ts; % Sampling Frequency
Fn = Fs/2; % Nyquist Frequency
Fv = linspace(0, 1, fix(l/2)+1)*Fn; % Frequency Vector (For One-Sided Fourier Transform)
Iv = 1:numel(Fv); % Index Vector (For One-Sided Fourier Transform)
Your plot call then changes to:
plot(Fv, D(Iv))
grid on
That should work (providing I did not make any typographical errors).

2 Comments

andrei andrei1
andrei andrei1 on 13 Jun 2018
Edited: andrei andrei1 on 13 Jun 2018
ok, so, for example if T has 500000 values between 0 and 10 seconds, this Fv will have 250001 values cause of the Nyquist mirroring, but the values would be from what frequency to what frequency? how to show on x axis the real values of frequency, and not the full 250001 steps, and how to show frequencys till 50 Hz, plot(Fv(1:50), D(1:50)) is good?
in my method, the x axis was till 250000 bins, and on yours till 25000 bins. these values are in fact 250000 Hz?
The ‘Fv’ variable goes from 0 Hz to the Nyquist frequency, that being half the sampling frequency.

Sign in to comment.

Categories

Find more on Fourier Analysis and Filtering in Help Center and File Exchange

Products

Release

R2013b

Tags

Asked:

on 12 Jun 2018

Commented:

on 13 Jun 2018

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!