- librosa.filters.window_bandwidth(window, n=1000)¶
Get the equivalent noise bandwidth (ENBW) of a window function.
The ENBW of a window is defined by 1 (equation 11) as the normalized ratio of the sum of squares to the square of sums:
enbw = n * sum(window**2) / sum(window)**2
Harris, F. J. “On the use of windows for harmonic analysis with the discrete Fourier transform.” Proceedings of the IEEE, 66(1), 51-83. 1978.
- windowcallable or string
A window function, or the name of a window function. Examples: - scipy.signal.hann - ‘boxcar’
- nint > 0
The number of coefficients to use in estimating the window bandwidth
The equivalent noise bandwidth (in FFT bins) of the given window function
This function caches at level 10.