tf.signal.fftshift
Shift the zero-frequency component to the center of the spectrum.
tf.signal.fftshift(
x, axes=None, name=None
)
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
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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