tf.signal.ifftnd
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ND inverse fast Fourier transform.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.signal.ifftnd\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/ops/signal/fft_ops.py#L245-L275) |\n\nND inverse fast Fourier transform.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.signal.ifftnd`](https://www.tensorflow.org/api_docs/python/tf/signal/ifftnd)\n\n\u003cbr /\u003e\n\n tf.signal.ifftnd(\n input_tensor, fft_length=None, axes=None, norm=None, name=None\n )\n\nComputes the n-dimensional inverse discrete Fourier transform over designated\ndimensions of `input`. The designated dimensions of `input` are assumed to be\nthe result of `IFFTND`.\n\nIf fft_length\\[i\\]shape(input)\\[i\\], the input is padded with zeros. If fft_length is not given, the default shape(input) is used.\n\nAxes mean the dimensions to perform the transform on. Default is to perform on\nall axes.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------|-------------------------------------------------------------------------------------------------------------|\n| `input` | A `Tensor`. Must be one of the following types: `complex64`, `complex128`. A complex tensor. |\n| `fft_length` | A `Tensor` of type `int32`. An int32 tensor. The FFT length for each dimension. |\n| `axes` | A `Tensor` of type `int32`. An int32 tensor with a same shape as fft_length. Axes to perform the transform. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor`. Has the same type as `input`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub