Title :
Adaptive blind separation of convolutive mixtures
Author :
Delfosse, Nathalie ; Loubaton, Philippe
Author_Institution :
Dept. Signal, Telecom Paris, France
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
Keywords :
adaptive filters; array signal processing; digital filters; lattice filters; least squares approximations; signal synthesis; LSL algorithm; adaptive blind separation; analysis; convolutive mixtures; instantaneous separation; lattice synthesis filter; least squares lattice algorithm; second order statistics; singularity; synthesis; three-step method; Finite impulse response filter; Lattices; Prediction algorithms; Sensor arrays; Signal analysis; Signal processing; Signal synthesis; Statistical analysis; Technological innovation; Transfer functions;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.550170
