FFT - How to transform my amplitudes into dB
337 views (last 30 days)
Show older comments
Jacques
on 26 Jun 2023
Edited: Gabriele Bunkheila
on 10 Dec 2024
Hello,
I have done a code to obtain the FFT of an audio recorded with Matlab. I'm getting my result in amplitude but I'd like to get it in dB in the frequency domain... Could someone please help me?
Here is my code and my curves:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1419398/image.png)
Thank you for your help.
0 Comments
Accepted Answer
Frantz Bouchereau
on 10 Dec 2024
Edited: Gabriele Bunkheila
on 10 Dec 2024
Here is a popular MATLAB doc page that explains the relationship between FFT and true power spectra: Power Spectral Density Estimates Using FFT. Use this to scale the FFT to obtain true power values.
0 Comments
More Answers (1)
Diya Tulshan
on 26 Jun 2023
Hii Jacques,
I understand you want to plot the data in db.
Kindly look into the code given below, it should solve your problem:-
Fs = 16000; % Sampling rate (Hz)
Channels = 1; % Number of audio channels
bits = 16; % Number of bits per sample
r = audiorecorder(Fs, bits, Channels);
duration = 10;
disp('Recording started');
recordblocking(r, duration);
disp('Recording stopped');
X = getaudiodata(r);
N = length(X);
f = (0:N/2) * (Fs/N);
t = (0:N-1) / Fs;
subplot(2,1,1);
plot(t, X);
xlabel('Time (s)');
ylabel('Amplitude');
title('Time Domain Plot');
Y = fft(X, N);
Y = abs(Y(1:N/2+1));
fftResult_dB = 20 * log10(Y); % covert into dB
subplot(2,1,2);
plot(f, fftResult_dB);
xlabel('Frequency (Hz)');
ylabel('Amplitude (dB)');
title('Frequency Domain Plot');
xlim([0, Fs/2]);
grid on;
Hope this helps!
2 Comments
See Also
Categories
Find more on Fourier Analysis and Filtering in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!