tf.spectral.irfft( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Discrete Fourier Transforms
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.
Along the axis IRFFT
is computed on, if fft_length / 2 + 1
is smaller than the corresponding dimension of input
, the dimension is cropped. If it is larger, the dimension is padded with zeros.
input
: A Tensor
of type complex64
. A complex64 tensor.fft_length
: A Tensor
of type int32
. An int32 tensor of shape [1]. The FFT length.name
: A name for the operation (optional).A Tensor
of type float32
.
© 2018 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