3. Signal truncation and weighting windows
3.1 Temporal signal truncation
FFT spectral analysis is based on the principle of transforming N temporal signal values into N frequency values "en bloc".
In this section, we focus on the influence of the number of calculation points N on the spectral representation obtained.
Let x(t) be the analog signal to be analyzed, with Fourier transform X(f).
The sampling of x(t) is assumed to respect Shannon's theorem and provides :
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
Signal truncation and weighting windows
Application of Fourier transform in signal analysis
Article included in this offer
"Noise and vibration"
(
71 articles
)
Updated and enriched with articles validated by our scientific committees
A set of exclusive tools to complement the resources
Bibliography
Exclusive to subscribers. 97% yet to be discovered!
Already subscribed? Log in!
