Optimal Design of FIR & IIR Filters by using Evolutionary Algorithms - Kumar, Nishant
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This book presents optimal design of digital FIR and IIR filters using evolutionary optimization methods. Some evolutionary optimization methods named as Normal Particle Swarm Optimization (PSO), PSO with Constriction Factor and Inertia Weight Approach (PSOCFIWA), PSOCFIWA with Wavelet Mutation (PSOCFIWA-WM), Harmonic Search (HS), and Harmonic Search with Wavelet Mutation (HS-WM) are discussed in this book and have been used for the optimal design of digital low pass, high pass, band pass and band stop filters. In order to show the comparative effectiveness of the discussed algorithms, the…mehr

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Produktbeschreibung
This book presents optimal design of digital FIR and IIR filters using evolutionary optimization methods. Some evolutionary optimization methods named as Normal Particle Swarm Optimization (PSO), PSO with Constriction Factor and Inertia Weight Approach (PSOCFIWA), PSOCFIWA with Wavelet Mutation (PSOCFIWA-WM), Harmonic Search (HS), and Harmonic Search with Wavelet Mutation (HS-WM) are discussed in this book and have been used for the optimal design of digital low pass, high pass, band pass and band stop filters. In order to show the comparative effectiveness of the discussed algorithms, the simulation results have been compared with the already existing well-established results. Further to demonstrate the efficacy of the proposed methods, these have been implemented via Simulink models in MATLAB.
Autorenporträt
Nishant Kumar received the Postgraduate degree with Gold medal in Electrical system from National institute of technology, Durgapur, India in 2013 and Ph.D in Power system from Indian Institute of Technology Delhi in 2018. His research interests include power system analysis and modelling, Digital signal processing, optimization and soft computing.