Skip to main content

Python Module for performing Extended Infomax ICA

Project description

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.

Project details


Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page