TY - GEN
T1 - A new approach to blind source separation with global optimal property
AU - Cheung, Yiu Ming
AU - Liu, Hailin
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/2
Y1 - 2004/2
N2 - This paper presents a new independency metric for blind source separation (BSS) problem. It is mathematically proved that the metric value of any linear combination of source signals is less than the largest one of sources under a loose condition. Further, the global optimization of this new metric is achieved by formulating it as a generalized eigenvalue problem. Subsequently, we guarantee to find out a correct de-mixing matrix through maximizing the proposed metric to separate the sources. The simulation results have shown its success in separating the linear combinations of sub-Gaussian and super-Gaussian sources with at most one Gaussian signal.
AB - This paper presents a new independency metric for blind source separation (BSS) problem. It is mathematically proved that the metric value of any linear combination of source signals is less than the largest one of sources under a loose condition. Further, the global optimization of this new metric is achieved by formulating it as a generalized eigenvalue problem. Subsequently, we guarantee to find out a correct de-mixing matrix through maximizing the proposed metric to separate the sources. The simulation results have shown its success in separating the linear combinations of sub-Gaussian and super-Gaussian sources with at most one Gaussian signal.
KW - Blind Source Separation
KW - Generalized Eigenvalue Problem
KW - Global Optimization
KW - Independency Metric
KW - Independent Component Analysis
UR - http://www.scopus.com/inward/record.url?scp=11144329523&partnerID=8YFLogxK
M3 - Conference proceeding
AN - SCOPUS:11144329523
T3 - Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence
SP - 137
EP - 141
BT - Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence 2004
PB - International Conference on Neural Networks and Computational Intelligence
T2 - IASTED International Conference on Neural Networks and Computational Intelligence 2004
Y2 - 23 February 2004 through 25 February 2004
ER -