Abstract
The particle swarm is an algorithm for finding optimal region of complex search spaces through the interaction of individuals in a population of particles. A new method based on particle swarm optimization (PSO) is proposed to design FIR digital filters. The design of FIR digital filters is converted into the optimization of the parameters of FIR digital filters. PSO is used to search the whole parameters space effectively and globally in order to optimize parameters. The effectiveness and superiority of the introduced method are demonstrated by experimental results on the low pass and band pass FIR digital filters. And compared with other optimization algorithms PSO has advances in computational power.
| Original language | English |
|---|---|
| Pages (from-to) | 1338-1341 |
| Number of pages | 4 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 33 |
| Issue number | 7 |
| State | Published - Jul 2005 |
Keywords
- Filter design
- FIR digital filters
- Particle swarm optimization