| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409557 | Neurocomputing | 2006 | 4 Pages |
Abstract
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source SEParation algorithm (abbreviated as TDSEP). Given the time lags, the time-delayed second-order correlation matrices are first diagonalized simultaneously. Then, a genetic algorithm is used to update the time lags. Finally, experimental results demonstrate that the proposed method can efficiently accomplish the aforementioned task.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang,