Name
Abstract | ||
|---|---|---|
Aiming at the problem of blind source separation of the communication signals, we propose a step size optimization equivariant adaptive source separation via independence (SO-EASI) algorithm basing on the EASI block based algorithm. This algorithm adjusts the step-size by the steepest descent method and thereby greatly increases its convergence speed whatever value the step-size is initialized. Simulation results show that SO-EASI algorithm can effectively blindly separate the communication signals and these results also support the expected improvement in convergence speed of the approach. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CIS.2007.213 | CIS |
Keywords | Field | DocType |
blind source separation,computational intelligence,convergence,adaptive signal processing,steepest descent method,signal processing,stability | Convergence (routing),Signal processing,Multidimensional signal processing,Method of steepest descent,Computer science,Adaptive filter,Artificial intelligence,Blind signal separation,Source separation,Mathematical optimization,Computational intelligence,Algorithm,Machine learning | Conference |
Volume | Issue | ISBN |
null | null | 0-7695-3072-9 |
Citations | PageRank | References |
2 | 0.35 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weihong Fu | 1 | 14 | 4.01 |
| Xiaoniu Yang | 2 | 90 | 10.96 |
| Naian Liu | 3 | 2 | 1.02 |