https://github.com/gbeckers/jader

Blind source separation of real signals
https://github.com/gbeckers/jader

blind-source-separation independent-component-analysis

Last synced: 8 months ago
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Blind source separation of real signals

• Host: GitHub
• URL: https://github.com/gbeckers/jader
• Owner: gbeckers
• License: other
• Created: 2019-10-02T20:45:11.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-10-03T10:42:15.000Z (over 6 years ago)
• Last Synced: 2025-02-01T09:31:13.390Z (over 1 year ago)
• Topics: blind-source-separation, independent-component-analysis
• Language: Python
• Size: 46.9 KB
• Stars: 13
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# 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.