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jointDiag  

Joint Approximate Diagonalization of a Set of Square Matrices
View on CRAN: Click here


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
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-28
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 07 Nov. 2024.
Previous versions and publish date:
0.1-2 (2009-04-28 09:56), 0.1 (2009-03-12 21:07), 0.2 (2009-12-17 18:17), 0.3 (2017-09-09 23:51)
Other packages that cited jointDiag R package
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Other R packages that jointDiag depends, 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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