Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2000-05-16
Physics
Condensed Matter
Statistical Mechanics
Accepted for publication in Neural Networks
Scientific paper
We investigate the information processing of a linear mixture of independent sources of different magnitudes. In particular we consider the case where a number $m$ of the sources can be considered as ``strong'' as compared to the other ones, the ``weak'' sources. We find that it is preferable to perform blind source separation in the space spanned by the strong sources, and that this can be easily done by first projecting the signal onto the $m$ largest principal components. We illustrate the analytical results with numerical simulations.
Aires F.
Korutcheva Elka
Nadal Jean-Pierre
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