JADE (2.0-3)

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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) .

Maintainer: Klaus Nordhausen
Author(s): Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>), Jean-Francois Cardoso [aut], Jari Miettinen [aut] (<https://orcid.org/0000-0002-3270-7014>), Hannu Oja [aut], Esa Ollila [aut], Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>)

License: GPL (>= 2)

Uses: clue, ICSNP, ICS
Reverse depends: ICtest, isva, tensorBSS, tsBSS
Reverse suggests: steadyICA

Released 2 months ago.

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