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3D real-valued fast Fourier transform.
Compat aliases for migration
See Migration guide for more details.
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
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.
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Code samples licensed under the Apache 2.0 License.