crosscorr.py 文件源码

def crosscorr(data, fb, fs, pairs=None):
    """

    Parameters
    ----------


    Returns
    -------

    """
    n_channels, n_samples = np.shape(data)
    filtered, _, _ = analytic_signal(data, fb, fs)

    r = np.zeros([n_channels, n_channels], dtype=np.float32)

    for i in range(n_channels):
        for ii in range(n_channels):
            r[i, ii] = np.correlate(filtered[i, ], filtered[ii, ], mode='valid')

    return r