tf.signal.ifftnd

ND inverse fast Fourier transform.

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tf.compat.v1.signal.ifftnd

tf.signal.ifftnd(
    input_tensor, fft_length=None, axes=None, norm=None, name=None
)

Computes the n-dimensional inverse discrete Fourier transform over designated dimensions of input. The designated dimensions of input are assumed to be the result of IFFTND.

If fft_length[i]shape(input)[i], the input is padded with zeros. If fft_length is not given, the default shape(input) is used.

Axes mean the dimensions to perform the transform on. Default is to perform on all axes.

Args
`input`	A `Tensor`. Must be one of the following types: `complex64`, `complex128`. A complex tensor.
`fft_length`	A `Tensor` of type `int32`. An int32 tensor. The FFT length for each dimension.
`axes`	A `Tensor` of type `int32`. An int32 tensor with a same shape as fft_length. Axes to perform the transform.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `input`.

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Last updated 2024-04-26 UTC.

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tf.signal.ifftnd