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tf.signal.fftshift

TensorFlow 1 version View source on GitHub

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

Aliases:

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