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Design of IIR digital filters with non-standard characteristics using differential evolution algorithm

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Języki publikacji
EN
Abstrakty
EN
In the paper an application of differential evolution algorithm to design digital filters with non-standard amplitude characteristics is presented. Three filters with characteristics: linearly growing, linearly falling, and non-linearly growing are designed with the use of the proposed method. The digital filters obtained using this method are stable, and their amplitude characteristics fulfill all design assumptions.
Rocznik
Strony
359--363
Opis fizyczny
Bibliogr. 13 poz., rys.
Twórcy
autor
autor
  • Department of Electronics and Computer Science, Koszalin University of Technology, Sniadeckich 2 Street, 75-453 Koszalin, Poland, aslowik@ie.tu.koszalin.pl
Bibliografia
  • [1] A. Słowik and M. Białko, "Evolutionary design of IIR digital filters with non-standard amplitude characteristics", 3-rd National Conference of Electronics, Kolobrzeg, 345-350 (2004).
  • [2] R. Lyons, Introduction to Digital Signal Processing, WKL, Warsaw, 2000, (in Polish).
  • [3] D. Goldberg, Genetic Algorithms in Search. Optimization, and Machine Learning, Addison-Wesley Publishing Company Inc., Boston, 1989.
  • [4] Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, Berlin, 1992.
  • [5] J. Arabas, Lectures on Evolutionary Algorithms, WNT, Warsaw, 2001, (in Polish).
  • [6] R. Storn and K.Y. Price, "Differential evolution -a simple and efficient heuristic for global optimization over continuous spaces", Global Optimization 11, 341-359 (1997).
  • [7] K.Y. Price, "An introduction to differential evolution", New Ideas in Optimization, 79-108 (1999).
  • [8] M. Erba, R. Rossi, Y. Liberali and A.G.B. Tettamanzi, "Digital filter design through simulated evolution", Proc. ECCTD '01 2, 137-140 (2001).
  • [9] K. Nurhan, "Digital HR filter design using differential evolution algorithm", EURASJP J. Applied Signal Processing 8, 1269-1276 (2005).
  • [10] K. Nurhan, C. Bahadir, and Y. Tatyana, "Performance comparison of genetic and differential Evolution algorithms for digital FIR filter design", Int. Conf. Advances in Information Systems LNCS 3261, 482-488 (2004).
  • [11] S. Chen, R.H. Istepanian, and B.L. Luk, "Digital HR filter design using adaptive simulated annealing", Digital Signal Processing 11(3), 241-251 (2001).
  • [12] J.F. Miller, D. Job, and Y.K. Vassilev, "Principles in the Evolutionary Design of Digital Circuits - Part I", J. Genetic Programming and Evolvable Machines 1(1), 8-35 (2000).
  • [13] R.L. Becerra and C.A. Coello Coello, "Cultured differential evolution for constrained optimization", Computer Methods in Applied Mechanics and Engineering 195(33-36), 4303-4322 (2006).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0028-0013
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