### Navigation

- index
- modules |
- modules |
- next |
- previous |
- NumPy v1.5 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Discrete Fourier Transform (`numpy.fft`) »

# numpy.fft.ihfft

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

  Compute the inverse FFT of a signal whose spectrum has Hermitian symmetry.

  Parameters : | a : array_like Input array. n : int, optional Length of the inverse FFT. axis : int, optional Axis over which to compute the inverse FFT, assuming Hermitian symmetry of the spectrum. Default is the last axis.
  Returns : | out : ndarray The transformed input.

  See also

  `hfft`, `irfft`

  Notes

  hfft/ihfft 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 hfft 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 |
- modules |
- next |
- previous |
- NumPy v1.5 Manual (DRAFT) »
- NumPy Reference »
- Routines »
- Discrete Fourier Transform (`numpy.fft`) »