Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria

Cardoso's JADE algorithm as well as his functions for joint diagonalization are ported to R. Also several other blind source separation (BSS) methods, like AMUSE and SOBI, and some criteria for performance evaluation of BSS algorithms, are given. The package is described in Miettinen, Nordhausen and Taskinen (2017) .


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install.packages("JADE")

2.0-3 by Klaus Nordhausen, 3 months ago


Browse source code at https://github.com/cran/JADE


Authors: Klaus Nordhausen [aut, cre] , Jean-Francois Cardoso [aut] , Jari Miettinen [aut] , Hannu Oja [aut] , Esa Ollila [aut] , Sara Taskinen [aut]


Documentation:   PDF Manual  


Task views: Multivariate Statistics


GPL (>= 2) license


Imports clue, graphics

Suggests ICS, ICSNP


Imported by BSSasymp, SpatialBSS, fICA, osd.

Depended on by ICtest, isva, tensorBSS, tsBSS.

Suggested by steadyICA.


See at CRAN