Go to content
UR Home

New Geometric ICA Approach for Blind Source Separation

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


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.

Owner only: item control page
  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: datahub@ur.de
0941 943 -5707

Contact persons