Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409273 | Neurocomputing | 2008 | 10 Pages |
Abstract
This paper proposes blind source extraction methods based on several time-delay autocorrelations of primary sources, called MACBSE. The MACBSE approaches are batch fixed-point learning algorithms for extraction of source signals with linear autocorrelations. The fixed-point algorithms are very simple and do not need to choose any learning step sizes. Furthermore, the convergence properties of the algorithms are analyzed. Their efficiencies are demonstrated by extensive computer simulations.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhenwei Shi, Dan Zhang, Changshui Zhang,