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New Geometric ICA Approach for Blind Source Separation

Rodriguez-Alvarez, M. ; Rojas, F. ; Puntonet, Carlos G. ; Theis, Fabian J. ; Lang, Elmar ; Clemente, R.



Abstract

This work explains a new method for blind separation of a linear mixture 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. In this work, the principles of the new method and a description of the algorithm are shown.


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