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.
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References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Taskinen, Sara; Miettinen, Jari; Nordhausen, Klaus: A more efficient second order blind identification method for separation of uncorrelated stationary time series (2016)
- Matilainen, Markus; Nordhausen, Klaus; Oja, Hannu: New independent component analysis tools for time series (2015)
- Nordhausen, Klaus: On robustifying some second order blind source separation methods for nonstationary time series (2014)
- Miettinen, Jari; Nordhausen, Klaus; Oja, Hannu; Taskinen, Sara: Statistical properties of a blind source separation estimator for stationary time series (2012)
- C. Bordier, Michel Dojat, Pierre Lafaye de Micheaux: Temporal and Spatial Independent Component Analysis for fMRI data sets embedded in a R package (2010) arXiv