kdllib.py 文件源码

def sine_window(X):
    """
    Apply a sinusoid window to X.

    Parameters
    ----------
    X : ndarray, shape=(n_samples, n_features)
        Input array of samples

    Returns
    -------
    X_windowed : ndarray, shape=(n_samples, n_features)
        Windowed version of X.
    """
    i = np.arange(X.shape[1])
    win = np.sin(np.pi * (i + 0.5) / X.shape[1])
    row_stride = 0
    col_stride = win.itemsize
    strided_win = as_strided(win, shape=X.shape,
                             strides=(row_stride, col_stride))
    return X * strided_win