A Geometric ICA Procedure Based on a Lattice of the Observation Space
M. Álvarez, Fernando Rojas, Carlos G. Puntonet, Julio Ortega, Fabian Joachim Theis, Elmar Wolfgang Lang · University of Regensburg Publication Server (University of Regensburg) · 2003
This work shows a new method for blind separation of sources, based on geometrical considerations concerning the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. The principles of the new method and a description of the algorithm followed by some speed enhancements are shown. Finally, we illustrate with simulations of several source distributions how the algorithm performs.