### Navigation

- index
- modules |
- next |
- previous |
- NumPy v1.3 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Fourier transforms (`numpy.fft`) »

# numpy.fft.hfft

`numpy.fft.``hfft`(a, n=None, axis=-1)

  Compute the fft of a signal which spectrum has Hermitian symmetry.

  Parameters: | a : array input array n : int length of the hfft axis : int axis over which to compute the hfft

  See also

  `rfft`, `ihfft`

  Notes

  These are a pair analogous to rfft/irfft, but for the opposite case: here the signal is real in the frequency domain and has Hermite symmetry in the time domain. So here it’s hermite_fft for which you must supply the length of the result if it is to be odd.

  ihfft(hfft(a), len(a)) == a within numerical accuracy.

### Navigation

- index
- modules |
- next |
- previous |
- NumPy v1.3 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Fourier transforms (`numpy.fft`) »