ift2

dnois.fourier.ift2(h: Tensor, dx: float | Tensor = None, dy: float | Tensor = None, dims: tuple[int, int] = (-2, -1)) → Tensor

Computes the 2D inverse Fourier transform of signal h.

Parameters:

  • h (Tensor) – The function to be inverse transformed.

  • dx – Sampling spacing in x direction i.e. the second dimension of original domain, either a float, a 0D tensor, or a tensor broadcastable with h. Default: omitted.

  • dy – Sampling spacing in y direction i.e. the first dimension, similar to dx. Default: identical to dx.

  • dims – The dimensions to be transformed. Default: (-2, -1).

Type:

float or Tensor

Type:

float or Tensor

Type:

tuple[int, int]

Returns:

Inverse Fourier transform of h.

Return type:

Tensor