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Inverse 2D real-valued fast Fourier transform.
tf.signal.irfft2d(
input_tensor, fft_length=None, name=None
)
Computes the inverse 2-dimensional discrete Fourier transform of a real-valued
signal over the inner-most 2 dimensions of input_tensor
.
The inner-most 2 dimensions of input_tensor
are assumed to be the result of RFFT2D
:
The inner-most dimension contains the fft_length / 2 + 1
unique components of
the DFT of a real-valued signal. If fft_length
is not provided, it is computed
from the size of the inner-most 2 dimensions of input_tensor
. If the FFT length used
to compute input_tensor
is odd, it should be provided since it cannot be inferred
properly.
Along each axis IRFFT2D
is computed on, if fft_length
(or
fft_length / 2 + 1
for the inner-most dimension) is smaller than the
corresponding dimension of input_tensor
, the dimension is cropped. If it is larger,
the dimension is padded with zeros.
Returns | |
---|---|
A Tensor of type Treal .
|