Alvarez, M. R. and Rojas, F. and Puntonet, C. G. and Ortega, J. and Theis, Fabian J. and Lang, Elmar (2003) A new geometrical method of BSS on a lattice of the space of observations. Signal processing.
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The techniques of Blind Separation of Sources (BSS) are used in many Signal Processing applications in which the data sampled by sensors are a mixture of signals from different sources, and the goal is to obtain an estimation of the sources from the mixtures. 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 several sources and it obtains the estimated coefficients of the unknown mixture matrix A and separates the unknown sources. Following an introduction, we present a brief abstract of previous work on geometric ICA by our two groups, the principles of the new method and a description of the algorithm followed by some speed enhancements. Finally, we illustrate with simulations of several source distributions how the algorithm performs.
|Institutions:||Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang|
|Subjects:||500 Science > 570 Life sciences|
|Created at the University of Regensburg:||Unknown|
|Deposited On:||23 Sep 2010 07:30|
|Last Modified:||24 Sep 2010 05:34|