Abstract
Recently Particle Swarm Optimization (PSO) has been studied for use in adaptive filtering problems where the mean squared error (MSE) surface is ill-conditioned. Although the swarm generally converges to a limit point, when the population of the swarm is small the entire swarm often stagnates before reaching the global minimum on the MSE surface. This paper examines enhancements designed to improve the performance of the conventional PSO algorithm. It is shown that an enhanced PSO algorithm, called the Modified PSO (MPSO) algorithm, is quite effective in achieving global convergence for IIR and nonlinear adaptive filters.
| Original language | English (US) |
|---|---|
| Title of host publication | ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems, Proceedings |
| Pages | 137-140 |
| Number of pages | 4 |
| State | Published - 2006 |
| Event | ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece Duration: May 21 2006 → May 24 2006 |
Other
| Other | ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems |
|---|---|
| Country/Territory | Greece |
| City | Kos |
| Period | 5/21/06 → 5/24/06 |
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering