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Optimal Design of FIR & IIR Filters by using Evolutionary Algorithms

71,81 
71,81 
2025-07-31 71.8100 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Nishant Kumar
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2016
Knygos puslapių skaičius: 108
ISBN-10: 3659922315
ISBN-13: 9783659922312
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Electronics and communications engineering

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