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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


2.0-3 by Klaus Nordhausen, a year ago

Browse source code at

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, KernelICA, SpatialBSS, fICA, osd.

Depended on by ICtest, isva, ssaBSS, tensorBSS, tsBSS.

Suggested by gmGeostats, steadyICA.

See at CRAN