jadeR for Python
Blind source separation of real signals
jadeR implements JADE, an Independent Component Analysis (ICA) algorithm developed by Jean-Francois Cardoso. More information about JADE can be found among others in: Cardoso, J. (1999) High-order contrasts for independent component analysis. Neural Computation, 11(1): 157-192.
More information about ICA can be found among others in Hyvarinen A., Karhunen J., Oja E. (2001). Independent Component Analysis, Wiley. Or at the website http://www.cis.hut.fi/aapo/papers/IJCNN99_tutorialweb/
The Python code here was translated into NumPy from the original Matlab Version 1.8 of May 2005 by Gabriel Beckers, http://gbeckers.nl . After that, two corrections were made by David Rivest-Hénault to make the code become equivalent at machine precision to that of jadeR.m, after which I put the code on Github.