kernels.py 文件源码

def absorbing_gaussian(x,sigma):
    '''
    Applies a gaussian convolution to 2d array `x` with absorbing
    boundary conditions.

    Parameters
    ----------

    Returns
    -------
    '''
    support = 1+sigma*6
    normalization = np.zeros(x.shape,'double')
    result = np.zeros(x.shape,'double')
    kernel = gaussian_2D_kernel(sigma)
    return convolve2d(x, kernel, mode='same', boundary='symm')