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Open Access

Digital IIR Filter Design Using Differential Evolution Algorithm

EURASIP Journal on Advances in Signal Processing20052005:856824

https://doi.org/10.1155/ASP.2005.1269

Received: 14 May 2004

Published: 31 May 2005

Abstract

Any digital signal processing algorithm or processor can be reasonably described as a digital filter. The main advantage of an infinite impulse response (IIR) filter is that it can provide a much better performance than the finite impulse response (FIR) filter having the same number of coefficients. However, they might have a multimodal error surface. Differential evolution (DE) algorithm is a new heuristic approach mainly having three advantages; finding the true global minimum of a multimodal search space regardless of the initial parameter values, fast convergence, and using a few control parameters. In this work, DE algorithm has been applied to the design of digital IIR filters and its performance has been compared to that of a genetic algorithm.

Keywords and phrases

digital IIR filterdesignevolutionary algorithmsdifferential evolutiongenetic algorithm

Authors’ Affiliations

(1)
Department of Electronic Engineering, Faculty of Engineering, Erciyes University, Melikgazi, Turkey

Copyright

© Karaboga 2005

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