cupyx.scipy.fft.fht#

cupyx.scipy.fft.fht(a, dln, mu, offset=0.0, bias=0.0)[source]#

Compute the fast Hankel transform.

Computes the discrete Hankel transform of a logarithmically spaced periodic sequence using the FFTLog algorithm [1], [2].

Parameters:

  • a (cupy.ndarray (..., n)) – Real periodic input array, uniformly logarithmically spaced. For multidimensional input, the transform is performed over the last axis.

  • dln (float) – Uniform logarithmic spacing of the input array.

  • mu (float) – Order of the Hankel transform, any positive or negative real number.

  • offset (float, optional) – Offset of the uniform logarithmic spacing of the output array.

  • bias (float, optional) – Exponent of power law bias, any positive or negative real number.

Returns:

A – The transformed output array, which is real, periodic, uniformly logarithmically spaced, and of the same shape as the input array.

Return type:

cupy.ndarray (…, n)

See also

scipy.special.fht()

scipy.special.fhtoffset()

Return an optimal offset for fht.

References