Howtosignalprocessing
- Why do we use windowing when working with FFTS?
- Why do we use Hanning window?
- How does a Hanning window work?
- What does windowing do to a signal?
Why do we use windowing when working with FFTS?
You can minimize the effects of performing an FFT over a noninteger number of cycles by using a technique called windowing. Windowing reduces the amplitude of the discontinuities at the boundaries of each finite sequence acquired by the digitizer.
Why do we use Hanning window?
Leakage Reduction Choice of Window
The Hanning window is usually a good choice. The main advantage of controlling the leakage is an increase in the dynamic range of the analysis, as leakage may swamp signal components of close frequencies and much smaller magnitudes.
How does a Hanning window work?
HANNING is a window function for signal or image filtering using a fast fourier transform. By processing data through HANNING before applying FFT, more realistic results can be obtained. The window calculated by HANNING is basically the first half of a cosine—in other words, only the positive cosine values.
What does windowing do to a signal?
Windowing changes the shape of the signal in the time domain, as well as affecting the spectrum that you see. The following figure shows convolving the original spectrum of a signal with the spectrum of a smoothing window. Even if you do not apply a smoothing window to a signal, a windowing effect still occurs.
