irfft2(a, s=None, axes=(-2, -1), norm=None)
This is really irfftn
with different defaults. For more details see irfftn
.
The input array
Shape of the real output to the inverse FFT.
The axes over which to compute the inverse fft. Default is the last two axes.
Normalization mode (see numpy.fft
). Default is "backward". Indicates which direction of the forward/backward pair of transforms is scaled and with what normalization factor.
The "backward", "forward" values were added.
The result of the inverse real 2-D FFT.
Computes the inverse of rfft2
.
irfft
The inverse of the one-dimensional FFT of real input.
irfftn
Compute the inverse of the N-dimensional FFT of real input.
rfft
The one-dimensional FFT for real input.
rfft2
The forward two-dimensional FFT of real input, of which :None:None:`irfft2` is the inverse.
>>> a = np.mgrid[:5, :5][0]See :
... A = np.fft.rfft2(a)
... np.fft.irfft2(A, s=a.shape) array([[0., 0., 0., 0., 0.], [1., 1., 1., 1., 1.], [2., 2., 2., 2., 2.], [3., 3., 3., 3., 3.], [4., 4., 4., 4., 4.]])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.fft.irfftn
numpy.fft.irfft
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