conv1

dnois.fourier.conv1(f1: Tensor, f2: Tensor, dx: float | Tensor = None, dim: int = -1, out: Literal['full', 'same', 'valid'] = 'full', padding: int | str = 'linear', simpson: bool = False, real: bool = None) → Tensor

1D version of conv().

Parameters:

  • f1 (Tensor) – The first sequence \(f_1\).

  • f2 (Tensor) – The second sequence \(f_2\).

  • dx – Sampling spacing, either a float, a 0D tensor, or a tensor broadcastable with f1 and f2. Omitted if None (default).

  • dim (int) – The dimension to be convolved. Default: -1.

  • out (str) – See conv().

  • padding (int or str) – See conv().

  • simpson (bool) – Whether to apply Simpson’s rule. Default: True.

  • real (bool) – See conv().

Type:

float or Tensor

Returns:

Convolution between f1 and f2. Complex if either f1 or f2 is complex or real=False, real-valued otherwise.

Return type:

Tensor