spd_learn.functional.real_covariance

spd_learn.functional.real_covariance(X: Tensor) → Tensor

Computes the real-valued covariance matrix of time series data.

Parameters:

X (torch.Tensor) – Input tensor of shape (…, C, T), where C is the number of channels and T is the number of time samples.

Returns:

Real part of the covariance matrix, with shape (…, C, C).

Return type:

torch.Tensor