/TensorFlow 2.4


3D real-valued fast Fourier transform.

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.

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).
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.