mark.py 文件源码

def __hilbert(x):
    """
    Hilbert transform to the power of 2

    Args:
        x (array): numpy array of data

    Returns:
        y (array): numpy array of Hilbert transformed x
                     (same size as x)
    """
    l = x.size
    pad = int(2**(np.floor(np.log2(l)) + 1))
    y = signal.hilbert(x, N=pad)[:l]
    return y