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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