pado.math.sc_idft_2d

sc_idft_2d(U, Mx, My, delta_x, delta_y, delta_fx, delta_fy)[source]

Perform 2D scaled inverse DFT using separable 1D transforms.

Parameters:

  • U (torch.Tensor) – Frequency domain input [My, Mx]

  • Mx (int) – Number of samples in x,y directions

  • My (int) – Number of samples in x,y directions

  • delta_x (float) – Target spatial sampling intervals (m)

  • delta_y (float) – Target spatial sampling intervals (m)

  • delta_fx (float) – Frequency sampling intervals (1/m)

  • delta_fy (float) – Frequency sampling intervals (1/m)

Returns:

Spatial domain output [My, Mx]

Return type:

torch.Tensor

Examples

>>> U = sc_dft_2d(field, Mx, My, dx, dy, dfx, dfy)
>>> field_recovered = sc_idft_2d(U, Mx, My, dx, dy, dfx, dfy)