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&6FVfv†–¦¶ÆÖà  symiirorder2(input, r, omega {, precision}) -> output

    Implement a smoothing IIR filter with mirror-symmetric boundary conditions
    using a cascade of second-order sections.  The second section uses a
    reversed sequence.  This implements the following transfer function::

                                  cs^2
         H(z) = ---------------------------------------
                (1 - a2/z - a3/z^2) (1 - a2 z - a3 z^2 )

    where::

          a2 = (2 r cos omega)
          a3 = - r^2
          cs = 1 - 2 r cos omega + r^2

    Parameters
    ----------
    input : ndarray
        The input signal.
    r, omega : scalar
        Parameters in the transfer function.
    precision :
        Specifies the precision for calculating initial conditions
        of the recursive filter based on mirror-symmetric input.

    Returns
    -------
    output : ndarray
        The filtered signal. symiirorder1(input, c0, z1 {, precision}) -> output

    Implement a smoothing IIR filter with mirror-symmetric boundary conditions
    using a cascade of first-order sections.  The second section uses a
    reversed sequence.  This implements a system with the following
    transfer function and mirror-symmetric boundary conditions::

                           c0              
           H(z) = ---------------------    
                   (1-z1/z) (1 - z1 z)     

    The resulting signal will have mirror symmetric boundary conditions as well.

    Parameters
    ----------
    input : ndarray
        The input signal.
    c0, z1 : scalar
        Parameters in the transfer function.
    precision :
        Specifies the precision for calculating initial conditions
        of the recursive filter based on mirror-symmetric input.

    Returns
    -------
    output : ndarray
        The filtered signal. sepfir2d(input, hrow, hcol) -> output

  Description:

    Convolve the rank-2 input array with the separable filter defined by the
    rank-1 arrays hrow, and hcol. Mirror symmetric boundary conditions are
    assumed.  This function can be used to find an image given its B-spline
    representation.qspline2d(input {, lambda, precision}) -> qk

  Description:

    Return the second-order B-spline coefficients over a regularly spaced
    input grid for the two-dimensional input image.  The lambda argument
    specifies the amount of smoothing.  The precision argument allows specifying
    the precision used when computing the infinite sum needed to apply mirror-
    symmetric boundary conditions.
cspline2d(input {, lambda, precision}) -> ck

  Description:

    Return the third-order B-spline coefficients over a regularly spacedi
    input grid for the two-dimensional input image.  The lambda argument
    specifies the amount of smoothing.  The precision argument allows specifying
    the precision used when computing the infinite sum needed to apply mirror-
    symmetric boundary conditions.

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