Lucas Parra
!!!! Change of Location !!!!
!!!! This talk will be in Room FINE 214 (second floor of Fine Hall)
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Geometric Source Separation: Merging convolutive source
separation with geometric beamforming
Abstract: Blind source separation of broad band signals
in a multi-path
environment remains a difficult problem. Robustness has been
limited
due to frequency permutation ambiguities. In principle, increasing
the
number of sensors allows improved performance but also introduces
additional degrees of freedom in the separating filters that are not
fully
determined by separation criteria. We propose here to further shape
the
filters and improve the robustness of blind separation by including
geometric information such as sensor positions and localized source
assumption. This allows us to combine blind source separation with
notions from adaptive and geometric beamforming leading to a number
of
novel algorithms that could be termed collectively ``geometric source
separation''.