Averaging over bins in frequency domain

1. What is spectral averaging?
2. What are frequency bins in FFT?
3. What are bins in spectrogram?

What is spectral averaging?

Spectral averaging is a different approach and is a type of ensemble averaging, which means that the “sample” and “mean value” are both spectra. The “mean value” spectrum results from averaging “sample” spectra. It isn't quite that simple though, because of the nature of the spectra.

What are frequency bins in FFT?

frequency bins are intervals between samples in frequency domain. For example, if your sample rate is 100 Hz and your FFT size is 100, then you have 100 points between [0 100) Hz. Therefore, you divide the entire 100 Hz range into 100 intervals, like 0-1 Hz, 1-2 Hz, and so on.

What are bins in spectrogram?

FFT Size and "Bins"

The FFT size defines the number of bins used for dividing the window into equal strips, or bins. Hence, a bin is a spectrum sample , and defines the frequency resolution of the window.