Filter löschen
Filter löschen

FFT - Effective bits and dynamic range

4 Ansichten (letzte 30 Tage)
William
William am 12 Okt. 2011
Hi,
I have some data recorded using a 10-bit analog to digital converter. I have imported the data into MATLAB and analyzed it using the FFT.
My questions is: how can I determine the FFT dynamic range and number of effective bits? Thanks.

Antworten (1)

joeDiHare
joeDiHare am 12 Okt. 2011
What is the syntax you used?
fft(x) by default takes N=nextpow2(length(x)) points, which gives a fs/N time resolution.
  2 Kommentare
Wayne King
Wayne King am 12 Okt. 2011
@stefano, fft(x) computes the discrete Fourier transform for an N-point signal and returns the N-point DFT, not nextpow2(length(x)) by default.
William
William am 12 Okt. 2011
Thanks for the reply. I just used fft(x) where x is the data vector (not necessarily a power of two).
The time resolution is useful, but I would still like to know the FFT dynamic range and number of effective bits? Thanks again.

Melden Sie sich an, um zu kommentieren.

Kategorien

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

Tags

Community Treasure Hunt

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

Start Hunting!

Translated by