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Synthesis of analog filter using evo...

Mayokun Oyejiden, Ajiboye.

Synthesis of analog filter using evolutionary strategies.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Synthesis of analog filter using evolutionary strategies.
Author:	Mayokun Oyejiden, Ajiboye.
Description:	103 p.
Notes:	Source: Masters Abstracts International, Volume: 55-02.
Notes:	Adviser: Hon Keung Kwan.
Contained By:	Masters Abstracts International55-02(E).
Subject:	Electrical engineering.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1602967
ISBN:	9781339191416

Synthesis of analog filter using evolutionary strategies.
Mayokun Oyejiden, Ajiboye.

Synthesis of analog filter using evolutionary strategies. - 103 p.

Source: Masters Abstracts International, Volume: 55-02.

Thesis (M.A.Sc.)--University of Windsor (Canada), 2015.

This project is designed to mimic automation of analog filter analysis to examine some efficient algorithm useful in filter synthesis. The process involves formation of MNA matrix to create symbolic transfer functions in s domain, continuous and discrete sizing of LC components using evolutionary algorithms; and finally, the performance of each algorithm is studied based on fixed error criterion and adaptability to discrete problem.

ISBN: 9781339191416Subjects--Topical Terms:

454503
Electrical engineering.

Synthesis of analog filter using evolutionary strategies.
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100 1 $a Mayokun Oyejiden, Ajiboye. $3 730280
245 1 0 $a Synthesis of analog filter using evolutionary strategies.
300 $a 103 p.
500 $a Source: Masters Abstracts International, Volume: 55-02.
500 $a Adviser: Hon Keung Kwan.
502 $a Thesis (M.A.Sc.)--University of Windsor (Canada), 2015.
520 $a This project is designed to mimic automation of analog filter analysis to examine some efficient algorithm useful in filter synthesis. The process involves formation of MNA matrix to create symbolic transfer functions in s domain, continuous and discrete sizing of LC components using evolutionary algorithms; and finally, the performance of each algorithm is studied based on fixed error criterion and adaptability to discrete problem.
520 $a Efficiency of the clever algorithms in optimizing piecewise filter response is ultimately dependent on the quality of the fitness function. A unique measure of error called Sum of Maximum Deviation (SMD) is implemented which evaluates the performance of global optimizer by weighing important details per unit sampled frequency.
520 $a From global optimization point of view, it is certain that discrete evolutionary algorithms lacks the absoluteness of brute force analysis; however, the general continuous optimization is stretched to accommodate a new proximity estimator alongside its elementary constraint.
590 $a School code: 0115.
650 4 $a Electrical engineering. $3 454503
650 4 $a Computer science. $3 199325
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710 2 $a University of Windsor (Canada). $b Electrical Engineering. $3 730281
773 0 $t Masters Abstracts International $g 55-02(E).
790 $a 0115
791 $a M.A.Sc.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1602967