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Digital IIR Filter Design Using Differential Evolution Algorithm

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.

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Correspondence to Nurhan Karaboga.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Karaboga, N. Digital IIR Filter Design Using Differential Evolution Algorithm. EURASIP J. Adv. Signal Process. 2005, 856824 (2005). https://doi.org/10.1155/ASP.2005.1269

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Keywords and phrases

  • digital IIR filter
  • design
  • evolutionary algorithms
  • differential evolution
  • genetic algorithm