Skip to main content

"Digital Filters Design Educational Software Based on Immune, Genetic and Quasi-Newton Line Search Algorithms"

Research 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.
Research Authors
Mohammed Abo-Zahhad, Sabah M. Ahmed, Nabil Sabor and Ahmed F. AL-Ajlouni
Research Department
Research Journal
Int. J. of Innovation and Learning
Research Member
Research Pages
pp. 35-62
Research Publisher
Inderscience
Research Rank
1
Research Vol
Vol. 9 - No. 1
Research Website
http://www.inderscience.com/info/inarticle.php?artid=37191
Research Year
2011