TensorFlow 2 version | View source on GitHub |
3D real-valued fast Fourier transform.
tf.signal.rfft3d(
input_tensor, fft_length=None, name=None
)
Computes the 3-dimensional discrete Fourier transform of a real-valued signal
over the inner-most 3 dimensions of input
.
Since the DFT of a real signal is Hermitian-symmetric, RFFT3D
only returns the
fft_length / 2 + 1
unique components of the FFT for the inner-most dimension
of output
: the zero-frequency term, followed by the fft_length / 2
positive-frequency terms.
Along each axis RFFT3D
is computed on, if fft_length
is smaller than the
corresponding dimension of input
, the dimension is cropped. If it is larger,
the dimension is padded with zeros.
Args | |
---|---|
input
|
A Tensor of type float32 . A float32 tensor.
|
fft_length
|
A Tensor of type int32 .
An int32 tensor of shape [3]. The FFT length for each dimension.
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type complex64 .
|