exp_map: Exponential mapping of SCMs

In LauraMasiero/RiemannR: RiemannR - EEG-based BCI analysis with Riemannian geometry

Description

This function allows to project bacj to the Riemannian manifold sample covariance matrices which were mapped in tangent space computed at a given point of the manifold.

Usage

exp_map(mapped_values, C)

Arguments

mapped_values	a list of sample covariance matrices previously mapped in the tangent space computed at C.
C	centroid. The point of the Riemannian manifold in which the tangent space was computed.

Value

It returns a list containing the matrices projected in the Riemannian manifold.

Author(s)

Laura Masiero, email: [e-mail]

References

Barachant, Alexandre, Stéphane Bonnet, Marco Congedo e Christian Jutten (2012). "Multiclass brain-computer interface classification by Riemannian geometry". In: IEEE Transactions on Biomedical Engineering. issn: 00189294. doi: 10.1109/TBME.2011.2172210.

LauraMasiero/RiemannR documentation built on Sept. 29, 2020, 9:51 p.m.