tf.signal.rfft | TensorFlow v2.16.1 (original) (raw)
Real-valued fast Fourier transform.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.signal.rfft, tf.compat.v1.spectral.rfft
tf.signal.rfft(
input_tensor, fft_length=None, name=None
)
Used in the notebooks
| Used in the tutorials |
|---|
| Time series forecasting |
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 thefft_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. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor of type Tcomplex. |