Real-valued fast Fourier transform.
tf.raw_ops.RFFT( input, fft_length, Tcomplex=tf.dtypes.complex64, name=None )
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.
Args | |
---|---|
input | A Tensor . Must be one of the following types: float32 , float64 . A float32 tensor. |
fft_length | A Tensor of type int32 . An int32 tensor of shape [1]. The FFT length. |
Tcomplex | An optional tf.DType from: tf.complex64, tf.complex128 . Defaults to tf.complex64 . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type Tcomplex . |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/RFFT