JOURNAL ARTICLE

The Design of IIR Digital Filter Based on Chaos Particle Swarm Optimization Algorithm

Abstract

This paper discusses the IIR digital filter design based on the chaos particle swarm optimization algorithm (CPSO). CPSO algorithm not only maintains the feature of simple structure, but also improves PSO algorithm global optimization capability, and enhances the convergence speed and accuracy of the algorithm. The simulation results of the low-pass and band-pass filter design show that the IIR digital filter can be designed with good performance using the CPSO algorithm and the precision and the iterative count compared with PSO have been improved greatly.

Keywords:
Infinite impulse response Particle swarm optimization Computer science Convergence (economics) Algorithm Filter (signal processing) Multi-swarm optimization Filter design Digital filter 2D Filters Algorithm design CHAOS (operating system) Control theory (sociology) Artificial intelligence

Metrics

34
Cited By
3.94
FWCI (Field Weighted Citation Impact)
4
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Metaheuristic Optimization Algorithms Research
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics

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