tf.spectral.rfft
tf.spectral.rfft
tf.spectral.rfft
rfft( input_tensor, fft_length=None, name=None )
Defined in tensorflow/python/ops/spectral_ops.py
.
See the guide: Spectral Functions > Fourier Transform Functions
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.
Args:
-
input
: ATensor
of typefloat32
. A float32 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 complex64
. A complex64 tensor of the same rank as input
. The inner-most dimension of input
is replaced with the fft_length / 2 + 1
unique frequency components of its 1D Fourier transform.
numpy compatibility
Equivalent to np.fft.rfft
© 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/rfft