Adaptive blind separation of convolutive mixtures

Authors:
N. Delfosse;P. Loubaton
Affiliations:
Dept. Signal, Telecom Paris, France;-
Venue:
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
Year:
1996

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Abstract

In this paper, the blind separation of convolutive mixtures is addressed. Provided that there are more sensors than sources, it can be solved using almost only the second order statistics of the observed signal, through a three-step method (analysis, instantaneous separation and synthesis). A decomposed and normalized lattice synthesis filter is introduced. It solves the problem of singularity, and it is stable for any choice of its parameters. It can be adaptively computed via a least squares lattice (LSL) algorithm, as shown by the simulation results.