# Time stamp for discrete Fourier transform

9 visualizaciones (últimos 30 días)
desert_scientist90 el 19 de Dic. de 2019
Comentada: Star Strider el 19 de Dic. de 2019
Hi all,
I am trying to create a time stamp for my weather data. I took my readings every three hours for simplicity sake lets say I just want four days and a half of August how can I do this? Attach is my attempt with my previous try.
a=[ 27 26 24 29 35 38 37 35 31 28 27 31 36 39 39 35 35 32 28 26 30 37 40 39 36 33 ]
a1=mean(a)%mean of matrix A
a2=a-a1;%subtraction of the mean at each observation
t1=datetime(2015,8,2);%time stamp attemp 1
t2=datetime(2015,8,6);
t1:hours(3):t2
y=fft(a2);
##### 0 comentariosMostrar -2 comentarios más antiguosOcultar -2 comentarios más antiguos

Iniciar sesión para comentar.

Star Strider el 19 de Dic. de 2019
Try this:
a=[ 27 26 24 29 35 38 37 35 31 28 27 31 36 39 39 35 35 32 28 26 30 37 40 39 36 33 ]
a1=mean(a)%mean of matrix A
a2=a-a1;%subtraction of the mean at each observation
t1=datetime(2015,8,2);%time stamp attemp 1
t2=datetime(2015,8,6);
tv = t1:hours(3):t2;
L = numel(a); % Nr Samples
Ts = 3/24; % Sampling Interval (Units: Days)
Fs = 1/Ts; % Sampling Frequency (Units: Cycles/Day)
Fn = Fs/2; % Nyquist Frequency (Units: Cycles/Day)
y=fft(a2)/L;
Fv = linspace(0, 1, fix(L/2)+1)*Fn; % Frequency Vector
Iv = 1:numel(Fv); % Index Vector
figure
plot(Fv, abs(y(Iv))*2)
grid
xlabel('Frequency (Cycles/Day)')
ylabel('Amplitude')
Experiment to get different results.
##### 2 comentariosMostrar NingunoOcultar Ninguno
desert_scientist90 el 19 de Dic. de 2019
Thanks! I was kinda lost with this but now I understand!
Star Strider el 19 de Dic. de 2019
As always, my pleasure!

Iniciar sesión para comentar.

### Categorías

Más información sobre Spectral Measurements en Help Center y File Exchange.

### Community Treasure Hunt

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

Start Hunting!

Translated by