A NOVEL APPROACH TO CONVOLUTIVE BLIND SEPARATION OF CLOSE-TO-ORTHOGONAL PULSE SOURCES USING SECOND-ORDER STATISTICS (TuePmOR4)

Author(s) : Ales Holobar (FEECS, Slovenia) Damjan Zazula (FEECS, Slovenia)

Abstract : We introduce a novel approach suitable for blind separation of convolutive Multiple-Input-Multiple-Output mixtures of orthogonal pulse sources. The approach is based on a joint-diagonalization of the algebraic combinations of whitened correlation matrices at non-zero lags. It supposes constant and finite system impulse responses and more measurements than sources. Preliminary tests on the synthetic signals prove 100% accuracy in detection of source pulses even if the sources are not completely orthogonal and when the measurements are noisy.

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