py_ica 1.1

Python Module for performing Extended Infomax ICA

I fixed some errors and built two Linux versions.

About ICA:

Independent Componnent Analysis (ICA) is a modern and effective method for performing blind Source separation (also known as Cocktail Party Problem). Fields of application are artifact reduction in multivariate data (eg EEG or MEG), finding hidden factors in financial data or noise reduction in images. Further ICA can be used to simplify and improve the solution of the inverse source problem in EEG and MEG analysis.

As I found no Python module for performing ICA, I wrapped the existing extended infomax implementation from EEGLAB.

• Author: Uwe Schmitt <uschmitt at mineway de>
• Maintainer: <uschmitt at mineway de>
• Home Page: http://www.procoders.net/?p=111
• Download URL: http://www.procoders.net/?p=30
• Keywords: ICA multivariate signalanalysis cocktailparty bss source separation
• Platform: Windows, Linux 32 Bit, Linux 64 Bit
• Requires ctypes, numpy
• Categories
  • Intended Audience :: Financial and Insurance Industry
  • Intended Audience :: Information Technology
  • Intended Audience :: Science/Research
  • Operating System :: Microsoft :: Windows
  • Programming Language :: C
  • Programming Language :: Python
  • Topic :: Scientific/Engineering :: Artificial Intelligence
  • Topic :: Scientific/Engineering :: Information Analysis
  • Topic :: Scientific/Engineering :: Mathematics
  • Topic :: Software Development :: Libraries :: Python Modules
• Package Index Owner: rocksportrocker
• DOAP record: py_ica-1.1.xml