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Digital filters design educational software based on immune, genetic and quasi-Newton line search algorithms

Author

Listed:
  • Mohammed Abo-Zahhad
  • Sabah M. Ahamed
  • Ahmad F. Al-Ajlouni
  • Nabil Sabor

Abstract

This paper presents educational software developed for designing FIR and IIR digital filters using two evolutionary algorithms (EAs); namely immune algorithms (IAs) and genetic algorithms (GAs), together with quasi-Newton line search algorithm (QNLS). This software provides the user the ability to design one- and two-dimensional; low-pass, high-pass, band-pass and band-stop digital filters with arbitrary magnitude and group delay specifications. The software is evaluated by making the assessment quizzes for electrical engineering students and instructors. Students' responses are very positive. A number of recommendations are made in this work based on instructor observation and students' evaluations.

Suggested Citation

  • Mohammed Abo-Zahhad & Sabah M. Ahamed & Ahmad F. Al-Ajlouni & Nabil Sabor, 2011. "Digital filters design educational software based on immune, genetic and quasi-Newton line search algorithms," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 9(1), pages 35-62.
    • Handle: RePEc:ids:ijilea:v:9:y:2011:i:1:p:35-62
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