tf.spectral.irfft
tf.spectral.irfft
tf.spectral.irfft
irfft( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Fourier Transform Functions
Inverse real-valued fast Fourier transform.
Computes the inverse 1-dimensional discrete Fourier transform of a real-valued signal over the inner-most dimension of input
.
The inner-most dimension of input
is assumed to be the result of RFFT
: 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 dimension of input
(fft_length = 2 * (inner - 1)
). If the FFT length used to compute input
is odd, it should be provided since it cannot be inferred properly.
Args:
-
input
: ATensor
of typecomplex64
. A complex64 tensor. -
fft_length
: ATensor
of typeint32
. An int32 tensor of shape [1]. The FFT length. -
name
: A name for the operation (optional).
Returns:
A Tensor
of type float32
. A float32 tensor of the same rank as input
. The inner-most dimension of input
is replaced with the fft_length
samples of its inverse 1D Fourier transform.
numpy compatibility
Equivalent to np.fft.irfft
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/spectral/irfft