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

Compute the inverse fast Hankel transform.

Computes the discrete inverse Hankel transform of a logarithmically spaced periodic sequence. This is the inverse operation to fht.

  • 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.


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



Return an optimal offset for fht.