tf.raw_ops.RFFT2D | TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.RFFT2D

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2D real-valued fast Fourier transform.

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tf.compat.v1.raw_ops.RFFT2D

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 thefft_length / 2 + 1 unique components of the FFT for the inner-most dimension of output: the zero-frequency term, followed by the fft_length / 2positive-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.