Digital filters design educational software based on immune, genetic and quasi-Newton line search algorithms Online publication date: Wed, 26-Nov-2014
by Mohammed Abo-Zahhad, Sabah M. Ahamed, Ahmad F. Al-Ajlouni, Nabil Sabor
International Journal of Innovation and Learning (IJIL), Vol. 9, No. 1, 2011
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.
Online publication date: Wed, 26-Nov-2014
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