tf.signal.irfft2d

Inverse 2D real-valued fast Fourier transform.

tf.signal.irfft2d(
    input_tensor, fft_length=None, name=None
)

Used in the notebooks

Used in the tutorials

Computes the inverse 2-dimensional discrete Fourier transform of a real-valued signal over the inner-most 2 dimensions of input_tensor.

The inner-most 2 dimensions of input_tensor are assumed to be the result of RFFT2D: The inner-most dimension contains the fft_length / 2 + 1 unique components of the DFT of a real-valued signal. If fft_length is not provided, it is computed from the size of the inner-most 2 dimensions of input_tensor. If the FFT length used to compute input_tensor is odd, it should be provided since it cannot be inferred properly.

Along each axis IRFFT2D is computed on, if fft_length (or fft_length / 2 + 1 for the inner-most dimension) is smaller than the corresponding dimension of input_tensor, the dimension is cropped. If it is larger, the dimension is padded with zeros.

input A Tensor. Must be one of the following types: complex64, complex128. A complex tensor.
fft_length A Tensor of type int32. An int32 tensor of shape [2]. The FFT length for each dimension.
name A name for the operation (optional).

A Tensor of type Treal.