tf.signal.irfftnd | TensorFlow v2.16.1 (original) (raw)
tf.signal.irfftnd
Stay organized with collections Save and categorize content based on your preferences.
ND inverse real fast Fourier transform.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.signal.irfftnd(
input_tensor, fft_length=None, axes=None, norm=None, name=None
)
Computes the n-dimensional inverse real discrete Fourier transform over designated dimensions of input_tensor. The designated dimensions of input_tensor are assumed to be the result of IRFFTND. The inner-most dimension contains thefft_length / 2 + 1 unique components of the DFT of a real-valued signal.
If fft_length[i]<shape(input)[i], the="" input="" is="" cropped.="" 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.</shape(input)[i],>
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 of type Treal. |