登录
TensorFlow 1 version
|
View source on GitHub
|
Inverse 2D real-valued fast Fourier transform.
tf.signal.irfft2d(
input_tensor, fft_length=None, name=None
)
Computes the inverse 2-dimensional discrete Fourier transform of a real-valued
signal over the inner-most 2 dimensions of input.
The inner-most 2 dimensions of input are assumed to be the result of RFFT2D:
The inner-most dimension contains the fft_length / 2 + 1 unique components of
the DFT of a real-valued signal. If fft_length is not provided, it is computed
from the size of the inner-most 2 dimensions of input. If the FFT length used
to compute input is odd, it should be provided since it cannot be inferred
properly.
Along each axis IRFFT2D is computed on, if fft_length (or
fft_length / 2 + 1 for the inner-most dimension) is smaller than the
corresponding dimension of input, the dimension is cropped. If it is larger,
the dimension is padded with zeros.
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 of shape [2]. The FFT length for each dimension.
|
Treal
|
An optional tf.DType from: tf.float32, tf.float64. Defaults to tf.float32.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor of type Treal.
|