W3cubDocs

/TensorFlow 2.3

tf.signal.fftshift

View source on GitHub

Shift the zero-frequency component to the center of the spectrum.

This function swaps half-spaces for all axes listed (defaults to all). Note that y[0] is the Nyquist component only if len(x) is even.

For example:

x = tf.signal.fftshift([ 0.,  1.,  2.,  3.,  4., -5., -4., -3., -2., -1.])
x.numpy() # array([-5., -4., -3., -2., -1.,  0.,  1.,  2.,  3.,  4.])
Args
x Tensor, input tensor.
axes int or shape tuple, optional Axes over which to shift. Default is None, which shifts all axes.
name An optional name for the operation.
Returns
A Tensor, The shifted tensor.

Numpy Compatibility

Equivalent to numpy.fft.fftshift. https://docs.scipy.org/doc/numpy/reference/generated/numpy.fft.fftshift.html

© 2020 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/versions/r2.3/api_docs/python/tf/signal/fftshift