Hello, for a final project I am doing a menu with the notes do, re and mi. The problem is that when I apply the Fourier transform fft, my spectrum looks very weird. Does anyone know if I'm doing anything wrong? Code: do=audioread('do.wav'); sound(do,44100) nota=audiorecorder(44100,16,1); disp('Grabando...') recordblocking(nota,4) disp('Listo.') bb=getaudiodata(nota); audiowrite('grabacion.wav',bb,88200) audio=audioread('grabacion.wav'); audiof=fft(audio); subplot(2,1,1); plot(audio) subplot(2,1,2); plot(audiof) sound(audio,44100) Image:

2 Kommentare

Salvador Salas Bonilla
Salvador Salas Bonilla am 14 Nov. 2017
Jan
Jan am 14 Nov. 2017
Please format your code using the "{} Code" button, such that it is readable. Attach images directly in the forum using the "Image" button instead of an external file hoster. Thanks.

Melden Sie sich an, um zu kommentieren.

 Akzeptierte Antwort

Star Strider
Star Strider am 14 Nov. 2017

0 Stimmen

In the plot you posted, you are plotting the real and imaginary parts of the two-sided Fourier transform. You need to plot the magnitude (absolute value, using the abs function) instead.
A single-sided Fourier transform is easier to understand. See the documentation on the fft (link) function for details on correctly plotting a one-sided Fourier transform.

2 Kommentare

Salvador Salas Bonilla
Salvador Salas Bonilla am 14 Nov. 2017
It was this, thank you very much! This was my first question here so I didn't know how to paste the code properly.
Star Strider
Star Strider am 14 Nov. 2017
As always, my pleasure!
No worries — we were all new here once.

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (1)

Jan
Jan am 14 Nov. 2017

1 Stimme

Did you read the documentation of fft. There you find an example for plotting:
Y = fft(audio);
L = length(audio);
FS = 44100;
P2 = abs(Y/L);
P1 = P2(1:L/2+1);
P1(2:end-1) = 2*P1(2:end-1);
f = Fs*(0:(L/2))/L;
plot(f,P1)

1 Kommentar

Nuchto
Nuchto am 17 Dez. 2017
Thanks for this. Why did you divide by the L (length) when taking the magnitude?

Melden Sie sich an, um zu kommentieren.

Kategorien

Mehr zu Fourier Analysis and Filtering finden Sie in Hilfe-Center und File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by