Package: jointDiag
Version: 0.4
Date: 2020-10-27
Title: Joint Approximate Diagonalization of a Set of Square Matrices
Author: Cedric Gouy-Pailler <cedric.gouypailler@gmail.com>
Maintainer: Cedric Gouy-Pailler <cedric.gouypailler@gmail.com>
Depends:
Suggests:
Description: Different algorithms to perform approximate joint
        diagonalization of a finite set of square matrices. Depending
        on the algorithm, orthogonal or non-orthogonal diagonalizer is
        found. These algorithms are particularly useful in the context
        of blind source separation. Original publications of the
        algorithms can be found in Ziehe et al. (2004), Pham and
        Cardoso (2001) <doi:10.1109/78.942614>, Souloumiac (2009)
        <doi:10.1109/TSP.2009.2016997>, Vollgraf and Obermayer
        <doi:10.1109/TSP.2006.877673>. An example of application in the
        context of Brain-Computer Interfaces EEG denoising can be found
        in Gouy-Pailler et al (2010) <doi:10.1109/TBME.2009.2032162>.
License: GPL (>= 2)
URL: https://github.com/gouypailler/jointDiag
RoxygenNote: 6.0.1
Repository: https://gouypailler.r-universe.dev
Date/Publication: 2020-10-27 12:29:25 UTC
RemoteUrl: https://github.com/gouypailler/jointdiag
RemoteRef: HEAD
RemoteSha: b4f58f9859346e4cbdf48c9caed0460f7d060fba
NeedsCompilation: yes
Packaged: 2026-10-14 07:16:42 UTC; root