Hanning Window
12 views (last 30 days)
Show older comments
Why is the Hanning window function best for random signal analysis?
0 Comments
Accepted Answer
Wayne King
on 21 Feb 2012
Hi Lisa, I don't whether I would say it's definitely "best". That is a hard thing to say, but the general rationale is that the Hanning, or Hann window is a good compromise between main lobe width, which determines frequency resolution, and side lobe level, which governs spectral leakage.
As you reduce the side lobe levels, you inevitably worsen frequency resolution by increasing the width of the main lobe.
Conversely, as you narrow the main lobe, you inevitably raise the side lobe level.
The Hann window is in a good middle ground on both measures among the commonly-used windows.
8 Comments
Wayne King
on 21 Feb 2012
I would. I don't know if I would use the term "spectral loss", leakage results in spurious energy showing up in your spectral estimate that is not the result of signal energy. It comes from the convolution of the signal's spectrum with that of the window.
More Answers (1)
Nicolas
on 13 Mar 2012
Hello! Mainly, because it filters out with 42.3 dB all the freq. after the 3dB main lobe. It is easy to compute and gets really good results
See Also
Categories
Find more on Spectral Estimation 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!