JADE: 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) <doi:10.18637/jss.v076.i02>.

Version: 2.0-4
Imports: clue, graphics
Suggests: ICS, ICSNP
Published: 2023-09-17
DOI: 10.32614/CRAN.package.JADE
Author: Klaus Nordhausen ORCID iD [aut, cre], Jean-Francois Cardoso [aut], Jari Miettinen ORCID iD [aut], Hannu Oja ORCID iD [aut], Esa Ollila [aut], Sara Taskinen ORCID iD [aut]
Maintainer: Klaus Nordhausen <klausnordhausenR at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: JADE citation info
Materials: ChangeLog
CRAN checks: JADE results


Reference manual: JADE.pdf
Vignettes: Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp


Package source: JADE_2.0-4.tar.gz
Windows binaries: r-devel: JADE_2.0-4.zip, r-release: JADE_2.0-4.zip, r-oldrel: JADE_2.0-4.zip
macOS binaries: r-release (arm64): JADE_2.0-4.tgz, r-oldrel (arm64): JADE_2.0-4.tgz, r-release (x86_64): JADE_2.0-4.tgz, r-oldrel (x86_64): JADE_2.0-4.tgz
Old sources: JADE archive

Reverse dependencies:

Reverse depends: ICtest, isva, MineICA, ssaBSS, tensorBSS, tsBSS
Reverse imports: BSSasymp, fICA, osd, SpaceTimeBSS, SpatialBSS
Reverse suggests: gmGeostats, steadyICA


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