tf.spectral.rfft( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Discrete Fourier Transforms
Real-valued fast Fourier transform.
Computes the 1-dimensional discrete Fourier transform of a real-valued signal over the inner-most dimension of input
.
Since the DFT of a real signal is Hermitian-symmetric, RFFT
only returns the fft_length / 2 + 1
unique components of the FFT: the zero-frequency term, followed by the fft_length / 2
positive-frequency terms.
Along the axis RFFT
is computed on, if fft_length
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 float32
. A float32 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 complex64
.
© 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/rfft