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librosa.filters.window_bandwidth

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

[1]

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.

Parameters:

windowcallable or string

A window function, or the name of a window function, e.g.: scipy.signal.hann or ‘boxcar’

nint > 0

The number of coefficients to use in estimating the window bandwidth

Returns:

bandwidthfloat

The equivalent noise bandwidth (in FFT bins) of the given window function

See also

get_window

Notes

This function caches at level 10.