Different algorithms to perform approximate joint diagonalization of a finite set of square matrices. Depending on the algorithm, orthogonal or nonorthogonal diagonalizer is found. These algorithms are particularly useful in the context of blind source separation.
Author  Cedric GouyPailler <cedric.gouypailler@gmail.com> 
Date of publication  20091217 17:17:36 
Maintainer  Cedric GouyPailler <cedric.gouypailler@gmail.com> 
License  GPL (>= 2) 
Version  0.2 
URL  http://www.rproject.org http://www.lis.inpg.fr/pages_perso/gouypailler/ 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

All man pages Function index File listing
Man pages  

ajd: Wrapper: Joint approximate diagonalization of a set of...  
ffdiag: Joint Approximate Diagonalization of a set of square,...  
jadiag: Joint Approximate Diagonalization of a set of square,...  
jedi: Approximate nonorthogonal joint diagonalization of a set of...  
qdiag: Joint Approximate Diagonalization of a set of square,...  
uwedge: Joint Approximate Diagonalization of a set of square,... 
Functions  

ajd  Man page Source code 
err  Source code 
ffdiag  Man page Source code 
jadiag  Man page Source code 
jedi  Man page Source code 
off  Source code 
qdiag  Man page Source code 
uwedge  Man page Source code 
Files  

DESCRIPTION
 
NAMESPACE
 
R
 
R/J_Di.R  
R/ajd.R  
R/ffdiag.R  
R/jadiag.R  
R/qdiag.R  
R/uwedge.R  
README
 
man
 
man/ajd.Rd  
man/ffdiag.Rd  
man/jadiag.Rd  
man/jedi.Rd  
man/qdiag.Rd  
man/uwedge.Rd  
src
 
src/Makevars
 
src/Makevars.win
 
src/ffdiag.c
 
src/jadiag.c
 
src/jedi.c

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