TensorFlow 1 version | View source on GitHub |
Real-valued fast Fourier transform.
tf.signal.rfft(
input_tensor, fft_length=None, 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 .
|