cupyx.scipy.fft.ifht#
- 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.
- 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.ifht()
scipy.special.fhtoffset()
Return an optimal offset for fht.