pyriemann.geometry.covariance.get_nondiag_weight

pyriemann.geometry.covariance.get_nondiag_weight(X)

Compute non-diagonality weights of a set of square matrices.

Compute non-diagonality weights of a set of square matrices, following Eq(B.1) in [1].

Parameters:

Xndarray, shape (…, n, n)

Set of square matrices.

Returns:

weightsndarray, shape (…,)

Non-diagonality weights for matrices.

Notes

Added in version 0.2.7.

Changed in version 0.12: Add support for NumPy and PyTorch.

References

[1]

On the blind source separation of human electroencephalogram by approximate joint diagonalization of second order statistics M. Congedo, C. Gouy-Pailler, C. Jutten. Clinical Neurophysiology, Elsevier, 2008, 119 (12), pp.2677-2686.