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dc.contributor.authorNeoh, Siew Chin, Dr.-
dc.contributor.authorTeoh, Yeong Yeap-
dc.date.accessioned2013-07-16T08:44:24Z-
dc.date.available2013-07-16T08:44:24Z-
dc.date.issued2012-07-10-
dc.identifier.citationp. 164-167en_US
dc.identifier.isbn978-146732688-9-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6320494-
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/26765-
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.orgen_US
dc.description.abstractIn order to optimize and simulate the design variables for a Fourth-order Sallen-Key low-pass filter, a genetic algorithm (GA) based optimization approach is proposed in this paper. The Fourth-order Sallen-Key low-pass filter design is synthesized using LTSpice whereas the GA model is developed by Matlab. The aims of the design include gain maximization, pass-band ripple minimization, and cut-off satisfaction. From the results obtained, the desired filter design that satisfies the specification constraints and required goals is produced.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the Asia Symposium on Quality Electronic Design (ASQED 2012)en_US
dc.subjectGenetic algorithmsen_US
dc.subjectLow pass filteren_US
dc.subjectParameter optimizationen_US
dc.titleA GA-based optimization for Fourth-order Sallen-Key low-pass filteren_US
dc.typeWorking Paperen_US
dc.contributor.urlscneoh@unimap.edu.myen_US
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