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librosa.filters.window_bandwidth

librosa.filters.window_bandwidth(window, n=1000)[source]

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
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.