tf.signal.ifftnd
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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 2024-01-23 UTC.
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