cupyx.scipy.fft.rfft

cupyx.scipy.fft.rfft(x, n=None, axis=-1, norm=None, overwrite_x=False)

Compute the one-dimensional FFT for real input.

The returned array contains the positive frequency components of the corresponding fft(), up to and including the Nyquist frequency.

Parameters:
  • x (cupy.ndarray) – Array to be transformed.
  • n (None or int) – Length of the transformed axis of the output. If n is not given, the length of the input along the axis specified by axis is used.
  • axis (int) – Axis over which to compute the FFT.
  • norm (None or 'ortho') – Normalization mode.
  • overwrite_x (bool) – If True, the contents of x can be destroyed.
Returns:

The transformed array.

Return type:

cupy.ndarray

See also

scipy.fft.rfft()