A new ica method based on a lattice of the observation space
M. Álvarez, Fernando Rojas, Carlos G. Puntonet, Fabian Joachim Theis, Elmar Wolfgang Lang · 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 coeflicients of the unknown mixture mafrix 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 disfributions how the algorithm performs. 1.