JADE-package: Blind Source Separation Methods Based on Joint...

JADE-packageR Documentation

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

Description

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>.

Details

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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] (<https://orcid.org/0000-0002-4945-5976>), Esa Ollila [aut], Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>)

Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

References

Miettinen, J., Nordhausen, K. and Taskinen, S. (2017), Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp, Journal of Statistical Software, 76, 1–31, <doi:10.18637/jss.v076.i02>.


JADE documentation built on Sept. 18, 2023, 1:06 a.m.