Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
560864 | Mechanical Systems and Signal Processing | 2008 | 15 Pages |
Abstract
This paper applies a novel optimization algorithm, particle swarm optimization (PSO), to design a higher-order differentiator that contains two different structures of even and odd orders. Four cases of linear phase finite impulse response (FIR) filters are designed to match the prescribed differentiation frequency response by using PSO algorithm. The algorithm with real-valued manipulations uses the velocity updating and position updating formulas to optimally solve the impulse response of the filter to the digital differentiator design problem. Simulation results reveals that the proposed method provides much better design performance than the well-known McClellan–Parks method.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Wei-Der Chang, Dai-Ming Chang,