tf.signal.rfft3d | TensorFlow v2.16.1 (original) (raw)
tf.signal.rfft3d
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3D real-valued fast Fourier transform.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.signal.rfft3d, tf.compat.v1.spectral.rfft3d
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 thefft_length / 2 + 1 unique components of the FFT for the inner-most dimension of output: the zero-frequency term, followed by the fft_length / 2positive-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. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type Tcomplex. |