About

A Python implementation of the AMICA (Adaptive Mixture Independent Component Analysis) algorithm for blind source separation, that was originally developed in FORTRAN by Jason Palmer at the Swartz Center for Computational Neuroscience (SCCN).

What is AMICA?

Like the Infomax ICA algorithm, AMICA can identify sub and super-Gaussian sources. However, AMICA goes a step further by modeling the sources themselves as a mixture of multiple Generalized Gaussian distributions: