Article ID Journal Published Year Pages File Type
560864 Mechanical Systems and Signal Processing 2008 15 Pages PDF
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
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