librosa/filters.py
def window_bandwidth(window, n=1000):
    '''Get the equivalent noise bandwidth of a window function.


    Parameters
    ----------
    window : callable or string
        A window function, or the name of a window function.
        Examples:
        - scipy.signal.hann
        - 'boxcar'

    n : int > 0
        The number of coefficients to use in estimating the
        window bandwidth

    Returns
    -------
    bandwidth : float
        The equivalent noise bandwidth (in FFT bins) of the
        given window function

    Notes
    -----
    This function caches at level 10.

    See Also
    --------
    get_window
    '''

    if hasattr(window, '__name__'):
        key = window.__name__
    else:
        key = window

    if key not in WINDOW_BANDWIDTHS:
        win = get_window(window, n)
        WINDOW_BANDWIDTHS[key] = n * np.sum(win**2) / np.sum(np.abs(win))**2

    return WINDOW_BANDWIDTHS[key]
def window_bandwidth(window, n=1000):
    '''Get the equivalent noise bandwidth of a window function.


    Parameters
    ----------
    window : callable or string
        A window function, or the name of a window function.
        Examples:
        - scipy.signal.hann
        - 'boxcar'

    n : int > 0
        The number of coefficients to use in estimating the
        window bandwidth

    Returns
    -------
    bandwidth : float
        The equivalent noise bandwidth (in FFT bins) of the
        given window function

    Notes
    -----
    This function caches at level 10.

    See Also
    --------
    get_window
    '''

    if hasattr(window, '__name__'):
        key = window.__name__
    else:
        key = window

    if key not in WINDOW_BANDWIDTHS:
        win = get_window(window, n)
        WINDOW_BANDWIDTHS[key] = n * np.sum(win**2) / np.sum(np.abs(win))**2

    return WINDOW_BANDWIDTHS[key]
def window_bandwidth ( window , n = 1000 ) : if hasattr ( window , '__name__' ) : key = window . __name__ else : key = window if key not in WINDOW_BANDWIDTHS : win = get_window ( window , n ) WINDOW_BANDWIDTHS [ key ] = n * np . sum ( win ** 2 ) / np . sum ( np . abs ( win ) ) ** 2 return WINDOW_BANDWIDTHS [ key ]
Get the equivalent noise bandwidth of a window function.


    Parameters
    ----------
    window : callable or string
        A window function, or the name of a window function.
        Examples:
        - scipy.signal.hann
        - 'boxcar'

    n : int > 0
        The number of coefficients to use in estimating the
        window bandwidth

    Returns
    -------
    bandwidth : float
        The equivalent noise bandwidth (in FFT bins) of the
        given window function

    Notes
    -----
    This function caches at level 10.

    See Also
    --------
    get_window
Get the equivalent noise bandwidth of a window function .