tf.spectral.rfft3d
tf.spectral.rfft3d
tf.spectral.rfft3d
rfft3d( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Fourier Transform Functions
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.
Args:
-
input
: ATensor
of typefloat32
. A float32 tensor. -
fft_length
: ATensor
of typeint32
. An int32 tensor of shape [3]. The FFT length for each dimension. -
name
: A name for the operation (optional).
Returns:
A Tensor
of type complex64
. A complex64 tensor of the same rank as input
. The inner-most 3 dimensions of input
are replaced with the their 3D Fourier transform. The inner-most dimension contains fft_length / 2 + 1
unique frequency components.
numpy compatibility
Equivalent to np.fft.rfftn with 3 dimensions.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/spectral/rfft3d