hfft

hfft(x: array, /, *, n: int | None = None, axis: int = -1, norm: Literal['backward', 'ortho', 'forward'] = 'backward') → array

Computes the one-dimensional discrete Fourier transform of a signal with Hermitian symmetry.

Parameters:

  • x (array) – input array. Should have a complex-valued floating-point data type.

  • n (Optional[int]) –

    number of elements along the transformed axis (dimension) specified by axis in the output array. Let M be the size of the input array along the axis specified by axis. When n is None, the function must set n equal to 2*(M-1).

    • If n//2+1 is greater than M, the axis of the input array specified by axis must be zero-padded to length n//2+1.

    • If n//2+1 is less than M, the axis of the input array specified by axis must be trimmed to size n//2+1.

    • If n//2+1 equals M, all elements along the axis of the input array specified by axis must be used when computing the transform.

    Default: None.

  • axis (int) – axis (dimension) of the input array over which to compute the transform. A valid axis must be an integer on the interval [-N, N), where N is the rank (number of dimensions) of x. If an axis is specified as a negative integer, the function must determine the axis along which to compute the transform by counting backward from the last dimension (where -1 refers to the last dimension). Default: -1.

  • norm (Literal['backward', 'ortho', 'forward']) –

    normalization mode. Should be one of the following modes:

    • 'backward': no normalization.

    • 'ortho': normalize by 1/sqrt(n) (i.e., make the FFT orthonormal).

    • 'forward': normalize by 1/n.

    Default: 'backward'.

Returns:

out (array) – an array transformed along the axis (dimension) specified by axis. The returned array must have a real-valued floating-point data type whose precision matches the precision of x (e.g., if x is complex128, then the returned array must have a float64 data type). The returned array must have the same shape as x, except for the axis specified by axis which must have size n.

Notes

New in version 2022.12.

Changed in version 2023.12: Required the input array to have a complex-valued floating-point data type and required that the output array have a real-valued data type having the same precision as the input array.