Digital IIR filter design using differential evolution algorithm

Creative Commons License

Karaboga N.

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, vol.2005, no.8, pp.1269-1276, 2005 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 2005 Issue: 8
  • Publication Date: 2005
  • Doi Number: 10.1155/asp.2005.1269
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1269-1276
  • Keywords: digital IIR filter, design, evolutionary algorithms, differential evolution, genetic algorithm, OPTIMIZATION
  • Erciyes University Affiliated: Yes


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.