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-4.7-arm64)JADE_2.0-4.tar.gz(r-4.7-x86_64)JADE_2.0-4.tar.gz(r-4.6-arm64)JADE_2.0-4.tar.gz(r-4.6-x86_64)
JADE_2.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
JADE/json (API)

# Install 'JADE' in R:

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

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

CPPdata - Cocktail Party Problem Data

On CRAN:

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

cpp

6.11 score 2 stars 19 packages 88 scripts 1.3k downloads 198 mentions 21 exports 2 dependencies

Last updated from:b76dd4b513. Checks:6 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	162
linux-devel-x86_64	OK	163
source / vignettes	OK	177
linux-release-arm64	OK	127
linux-release-x86_64	OK	125
wasm-release	OK	136

Exports:amari.error AMUSE bss.components cjd ComonGAP djd FG FOBI frjd frjd.int JADE k_JADE MD multscatter NSS.JD NSS.SD NSS.TD.JD rjd rjd.fortran SIR SOBI

Dependencies:clue cluster

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

Rendered fromJADE-BSSasymp.Rnwusingutils::Sweave

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

Help page	Topics
Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria	JADE-package
Amari Error	amari.error
AMUSE Method for Blind Source Separation	AMUSE AMUSE.default AMUSE.ts
Function to Extract Estimated Sources from an Object of Class bss	bss.components
Joint Diagonalization of Complex Matrices	cjd
Coefficients of a bss Object	coef.bss
Comon's Gap	ComonGAP
Cocktail Party Problem Data	CPPdata
Function for Joint Diagonalization of k Square Matrices in a Deflation Based Manner	djd
Joint Diagonalization of Real Positive-definite Matrices	FG
Function to perform FOBI for ICA	FOBI
JADE Algorithm for ICA	JADE
Fast Equivariant k-JADE Algorithm for ICA	k_JADE
Minimum Distance index MD	MD
Function to Compute Several Scatter Matrices for the Same Data	multscatter
NSS.JD Method for Nonstationary Blind Source Separation	NSS.JD NSS.JD.default NSS.JD.ts
NSS.SD Method for Nonstationary Blind Source Separation	NSS.SD NSS.SD.default NSS.SD.ts
NSS.TD.JD Method for Nonstationary Blind Source Separation	NSS.TD.JD NSS.TD.JD.default NSS.TD.JD.ts
Plotting an Object of Class bss	plot.bss
Printing an Object of Class bss	print.bss
Joint Diagonalization of Real Matrices	frjd frjd.int rjd rjd.fortran
Signal to Interference Ratio	SIR
SOBI Method for Blind Source Separation	SOBI SOBI.default SOBI.ts

Package: JADE 2.0-4

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

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