Geometric Overcomplete ICA
Fabian Joachim Theis, Elmar Wolfgang Lang · University of Regensburg Publication Server (University of Regensburg) · 2002
In independent component analysis (ICA), given some signal input the goal is to find an independent decomposition. We present an algorithm based on geometric considerations to decompose a linear mixture of more sources than sensor signals. We present an efficient method for the matrix-recovery step in the framework of a two-step approach to the source separation problem. The second step - sourcerecovery - uses the standard maximum-likelihood approach.