TensorFlow 1 version
|
View source on GitHub
|
2D real-valued fast Fourier transform.
tf.signal.rfft2d(
input_tensor, fft_length=None, name=None
)
Computes the 2-dimensional discrete Fourier transform of a real-valued signal
over the inner-most 2 dimensions of input.
Since the DFT of a real signal is Hermitian-symmetric, RFFT2D only returns the
fft_length / 2 + 1 unique components of the FFT for the inner-most dimension
of output: the zero-frequency term, followed by the fft_length / 2
positive-frequency terms.
Along each axis RFFT2D 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 [2]. The FFT length for each dimension.
|
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.
|