Package: JADE 2.0-4

Klaus Nordhausen

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>.

Authors:Klaus Nordhausen [aut, cre], Jean-Francois Cardoso [aut], Jari Miettinen [aut], Hannu Oja [aut], Esa Ollila [aut], Sara Taskinen [aut]

JADE_2.0-4.tar.gz
JADE_2.0-4.tar.gz(r-4.5-noble)JADE_2.0-4.tar.gz(r-4.4-noble)
JADE_2.0-4.tgz(r-4.4-emscripten)JADE_2.0-4.tgz(r-4.3-emscripten)
JADE.pdf |JADE.html✨
JADE/json (API)

# Install 'JADE' in R:
install.packages('JADE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • CPPdata - Cocktail Party Problem Data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.05 score 2 stars 18 packages 67 scripts 1.6k downloads 198 mentions 21 exports 2 dependencies

Last updated 1 years agofrom:b76dd4b513. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-linux-x86_64OKNov 12 2024

Exports:amari.errorAMUSEbss.componentscjdComonGAPdjdFGFOBIfrjdfrjd.intJADEk_JADEMDmultscatterNSS.JDNSS.SDNSS.TD.JDrjdrjd.fortranSIRSOBI

Dependencies:cluecluster

Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp

Rendered fromJADE-BSSasymp.Rnwusingutils::Sweaveon Nov 12 2024.

Last update: 2018-03-02
Started: 2015-08-14