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 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