tf.signal.rfft

Real-valued fast Fourier transform.

View aliases

Compat aliases for migration

See Migration 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 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.
name	A name for the operation (optional).

Returns
A Tensor of type Tcomplex.