|  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 Tensorof typefloat32. A float32 tensor. | 
| fft_length | A Tensorof typeint32.
An int32 tensor of shape [3]. The FFT length for each dimension. | 
| name | A name for the operation (optional). | 
| Returns | |
|---|---|
| A Tensorof typecomplex64. |