{"title":"基于遗传算法的四阶萨伦键低通滤波器优化","authors":"Teoh Yeong Yeap, N. Chin","doi":"10.1109/ACQED.2012.6320494","DOIUrl":null,"url":null,"abstract":"In 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.","PeriodicalId":161858,"journal":{"name":"2012 4th Asia Symposium on Quality Electronic Design (ASQED)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A GA-based optimization for Fourth-order Sallen-Key low-pass filter\",\"authors\":\"Teoh Yeong Yeap, N. Chin\",\"doi\":\"10.1109/ACQED.2012.6320494\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 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.\",\"PeriodicalId\":161858,\"journal\":{\"name\":\"2012 4th Asia Symposium on Quality Electronic Design (ASQED)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 4th Asia Symposium on Quality Electronic Design (ASQED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACQED.2012.6320494\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 4th Asia Symposium on Quality Electronic Design (ASQED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACQED.2012.6320494","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A GA-based optimization for Fourth-order Sallen-Key low-pass filter
In 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.
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