DEPSO and PSO-QI in digital filter design
Expert Systems with Applications: An International Journal
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International Journal of Bio-Inspired Computation
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International Journal of Computer Applications in Technology
A Novel Firefly Algorithm for Optimal Linear Phase FIR Filter Design
International Journal of Swarm Intelligence Research
Natural Computing: an international journal
International Journal of Hybrid Intelligent Systems
International Journal of Hybrid Intelligent Systems
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FIR digital filters design involves multi-parameter optimization, on which the existing optimization algorithm doesn't work efficiently. This paper focuses on employing the proposed Quantum-behaved Particle Swarm Optimization (QPSO) to design FIR digital filters. QPSO is a global stochastic searching technique that can find out the global optima of the problem more rapidly than original PSO. After describing the origin and development of QPSO, we present how to use it in FIR digital filters design. It has been demonstrated by experiment results that QPSO outperforms the PSO and Genetic Algorithm (GA) for the problem.