Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed

Filter design is usually a long and complicated process. The process involves a lot of computational work and mistakes are easily made. There is also possibility that the design does not meet specification thus forcing the process to be repeated. This project describe how Genetic Algorithm (GA) coul...

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Main Author:	Awang Ahmed, Rohana
Format:	Thesis
Language:	English
Published:	2000
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/77902/1/77902.pdf
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id	my-uitm-ir.77902
record_format	uketd_dc
spelling	my-uitm-ir.779022023-07-26T00:56:04Z Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed 2000 Awang Ahmed, Rohana Evolutionary programming (Computer science). Genetic algorithms Filter design is usually a long and complicated process. The process involves a lot of computational work and mistakes are easily made. There is also possibility that the design does not meet specification thus forcing the process to be repeated. This project describe how Genetic Algorithm (GA) could be used to optimize the process of designing analog filter by considering such as magnitude response. The aim is to reduce the cost by reducing the filter order. Different type of filter such as Chebyshev, Inverse Chebyshev, Butterworth and Elliptical filter are considered. The transfer function of the network are obtained in a standard form. The conventional filter design technique is adapted in writing a MATLAB program using the Signal Processing Toolbox. GA is then implemented using the Genetic Algorithm Toolbox (GAOT). The result of using GA based methods are then compared to conventional design technique. Its provides an alternative means in filter design. 2000 Thesis https://ir.uitm.edu.my/id/eprint/77902/ https://ir.uitm.edu.my/id/eprint/77902/1/77902.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Wan Abdullah, Wan Norainin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Wan Abdullah, Wan Norainin
topic	Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Awang Ahmed, Rohana Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
description	Filter design is usually a long and complicated process. The process involves a lot of computational work and mistakes are easily made. There is also possibility that the design does not meet specification thus forcing the process to be repeated. This project describe how Genetic Algorithm (GA) could be used to optimize the process of designing analog filter by considering such as magnitude response. The aim is to reduce the cost by reducing the filter order. Different type of filter such as Chebyshev, Inverse Chebyshev, Butterworth and Elliptical filter are considered. The transfer function of the network are obtained in a standard form. The conventional filter design technique is adapted in writing a MATLAB program using the Signal Processing Toolbox. GA is then implemented using the Genetic Algorithm Toolbox (GAOT). The result of using GA based methods are then compared to conventional design technique. Its provides an alternative means in filter design.
format	Thesis
qualification_level	Bachelor degree
author	Awang Ahmed, Rohana
author_facet	Awang Ahmed, Rohana
author_sort	Awang Ahmed, Rohana
title	Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
title_short	Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
title_full	Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
title_fullStr	Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
title_full_unstemmed	Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed
title_sort	genetic algorithm based for optimizing filter design / rohana awang ahmed
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2000
url	https://ir.uitm.edu.my/id/eprint/77902/1/77902.pdf
_version_	1783736178422317056

Genetic algorithm based for optimizing filter design / Rohana Awang Ahmed

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