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Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices

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4 Author(s)
Pokharel, P.P. ; Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA ; Ozertem, U. ; Erdogmus, D. ; Principe, J.C.

Under the assumptions of non-Gaussian, non-stationary, or non-white independent sources, linear blind source separation can be formulated as a generalized eigenvalue decomposition problem. Here we provide an elegant method of doing this online, instead of waiting for a sufficiently large batch of data. This is done through a recursive generalized eigendecomposition algorithm that tracks the optimal solution, which is obtained using all the data observed. The algorithms proposed in this paper follow the well-known recursive least squares (RLS) algorithm in nature.

Published in:

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on  (Volume:2 )

Date of Conference:

15-20 April 2007