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jointDiag
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Download and install jointDiag package within the R console
Install from CRAN:
install.packages("jointDiag")
Install from Github:
library("remotes")
install_github("cran/jointDiag")
Install by package version:
library("remotes")
install_version("jointDiag", "0.4")
Attach the package and use:
library("jointDiag")
Maintained by
Cedric Gouy-Pailler
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All associated links for this package
First Published: 2009-03-12
Latest Update: 2020-10-27
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) ,
Souloumiac (2009) ,
Vollgraff and Obermayer . An example of
application in the context of Brain-Computer Interfaces EEG denoising
can be found in Gouy-Pailler et al (2010) .
How to cite:
Cedric Gouy-Pailler (2009). jointDiag: Joint Approximate Diagonalization of a Set of Square Matrices. R package version 0.4, https://cran.r-project.org/web/packages/jointDiag. Accessed 21 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for jointDiag
Functions, R codes and Examples using
the jointDiag R package
Some associated functions: ajd . ffdiag . jadiag . jedi . qdiag . uwedge .
Some associated R codes: J_Di.R . ajd.R . ffdiag.R . jadiag.R . qdiag.R . uwedge.R . Full jointDiag package functions and examples
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