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A new geometrical method of BSS on a lattice of the space of observations

Alvarez, M. R. ; Rojas, F. ; Puntonet, C. G. ; Ortega, J. ; Theis, Fabian J. ; Lang, Elmar


Abstract

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 ...

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