Digital filter design
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Design of arbitrary FIR log filters by genetic algorithm approach
Signal Processing
Digital Signal Processing: A Practical Approach
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FIR Digital Filters Design Based on Quantum-behaved Particle Swarm Optimization
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1
Linear phase FIR filter design using particle swarm optimization and genetic algorithms
Digital Signal Processing
The Design of IIR Digital Filter Based on Chaos Particle Swarm Optimization Algorithm
WGEC '08 Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing
An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for IIR Digital Filter
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 01
Differential Cultural Algorithm for Digital Filters Design
ICCMS '10 Proceedings of the 2010 Second International Conference on Computer Modeling and Simulation - Volume 03
Satisfactory Design of IIR Digital Filter Based on Chaotic Mutation Particle Swarm Optimization
WGEC '09 Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing
Particle swarm optimization with quantum infusion for system identification
Engineering Applications of Artificial Intelligence
Filter modeling using gravitational search algorithm
Engineering Applications of Artificial Intelligence
DEPSO and PSO-QI in digital filter design
Expert Systems with Applications: An International Journal
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IEEE Transactions on Information Theory
Bacteria foraging optimisation algorithm for optimal FIR filter design
International Journal of Bio-Inspired Computation
International Journal of Hybrid Intelligent Systems
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In this paper, Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach is hybridized with Wavelet Mutation PSOCFIWA-WM strategy for the optimal design of linear phase FIR filters. Real coded genetic algorithm RGA, particle swarm optimization PSO and particle swarm optimization with constriction factor and inertia weight PSOCFIWA have also been adopted for the sake of comparison. PSOCFIWA-WM incorporates a new definition of swarm updating in PSOCFIWA with the help of wavelet based mutation. Wavelet mutation enhances the effectiveness of PSOCFIWA to explore the multidimensional solution space more effectively. In this design approach, filter length, pass band and stop band edge frequencies, feasible pass band and stop band ripple sizes are specified. A comparison of simulation results reveals the optimization superiority of the proposed technique over the other optimization techniques for the solution of FIR low pass LP, high pass HP, band pass BP and band stop BS filter designs.