tf.raw_ops.RFFT2D

2D real-valued fast Fourier transform.

tf.raw_ops.RFFT2D(
    input,
    fft_length,
    Tcomplex=tf.dtypes.complex64,
    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.

inputA Tensor. Must be one of the following types: float32, float64. A float32 tensor.
fft_lengthA Tensor of type int32. An int32 tensor of shape [2]. The FFT length for each dimension.
TcomplexAn optional tf.DType from: tf.complex64, tf.complex128. Defaults to tf.complex64.
nameA name for the operation (optional).

A Tensor of type Tcomplex.