tf.signal.rfft3d
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. Must be one of the following types: float32, float64. A float32 tensor. |
fft_length |
A Tensor of type int32. An int32 tensor of shape [3]. The FFT length for each dimension. |
Tcomplex |
An optional tf.DType from: tf.complex64, tf.complex128. Defaults to tf.complex64. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type Tcomplex. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/signal/rfft3d