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>.

Package details

AuthorKlaus 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>)
MaintainerKlaus Nordhausen <klausnordhausenR@gmail.com>
LicenseGPL (>= 2)
Version2.0-4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("JADE")

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