CRAN/E | jointDiag

jointDiag

Joint Approximate Diagonalization of a Set of Square Matrices

Installation

About

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, Vollgraff 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.

github.com/gouypailler/jointDiag

Key Metrics

Version 0.4
Published 2020-10-27 1279 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Cedric Gouy-Pailler

cedric.gouypailler@gmail.com

Authors

Cedric Gouy-Pailler

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

jointDiag archive

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MMeM

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