Extracts the pulse spectral density (PSD) from the data.

    Parameters
    ----------
    Signal : array-like
        Array containing the signal to have the PSD calculated for
    SampleFreq : float
        Sample frequency of the signal array
    NPerSegment : int, optional
        Length of each segment used in scipy.welch
        default = 1000000
    window : str or tuple or array_like, optional
        Desired window to use. See get_window for a list of windows
        and required parameters. If window is array_like it will be
        used directly as the window and its length will be used for
        nperseg.
        default = "hann"

    Returns
    -------
    freqs : ndarray
            Array containing the frequencies at which the PSD has been
            calculated
    PSD : ndarray
            Array containing the value of the PSD at the corresponding
            frequency value in V**2/Hz

def calc_PSD(Signal, SampleFreq, NPerSegment=1000000, window="hann"):
    """
    Extracts the pulse spectral density (PSD) from the data.

    Parameters
    ----------
    Signal : array-like
        Array containing the signal to have the PSD calculated for
    SampleFreq : float
        Sample frequency of the signal array
    NPerSegment : int, optional
        Length of each segment used in scipy.welch
        default = 1000000
    window : str or tuple or array_like, optional
        Desired window to use. See get_window for a list of windows
        and required parameters. If window is array_like it will be
        used directly as the window and its length will be used for
        nperseg.
        default = "hann"

    Returns
    -------
    freqs : ndarray
            Array containing the frequencies at which the PSD has been
            calculated
    PSD : ndarray
            Array containing the value of the PSD at the corresponding
            frequency value in V**2/Hz
    """
    freqs, PSD = scipy.signal.welch(Signal, SampleFreq,
                                    window=window, nperseg=NPerSegment)
    PSD = PSD[freqs.argsort()]
    freqs.sort()
    return freqs, PSD