{"title":"模拟滤波器的进化设计","authors":"Xuehua Zhang, Yao Li","doi":"10.1109/IHMSC.2013.260","DOIUrl":null,"url":null,"abstract":"In order to improve accuracy of parameters and performance indexes for the filter, improve quality of the filter and meet the real-time requirements, an evolvable hardware structure and design method for an analog filter is presented in the paper. Evolvable hardware structure for the filter is devised by genetic programming. Optimization design of Parameters for the filter is realized by improved multi-objective adaptive genetic algorithm. Experiment shows that values of evolutionary parameters are in line with theoretical values exceedingly, and simulation results are satisfying.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolutionary Design of an Analog Filter\",\"authors\":\"Xuehua Zhang, Yao Li\",\"doi\":\"10.1109/IHMSC.2013.260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to improve accuracy of parameters and performance indexes for the filter, improve quality of the filter and meet the real-time requirements, an evolvable hardware structure and design method for an analog filter is presented in the paper. Evolvable hardware structure for the filter is devised by genetic programming. Optimization design of Parameters for the filter is realized by improved multi-objective adaptive genetic algorithm. Experiment shows that values of evolutionary parameters are in line with theoretical values exceedingly, and simulation results are satisfying.\",\"PeriodicalId\":222375,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2013.260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2013.260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In order to improve accuracy of parameters and performance indexes for the filter, improve quality of the filter and meet the real-time requirements, an evolvable hardware structure and design method for an analog filter is presented in the paper. Evolvable hardware structure for the filter is devised by genetic programming. Optimization design of Parameters for the filter is realized by improved multi-objective adaptive genetic algorithm. Experiment shows that values of evolutionary parameters are in line with theoretical values exceedingly, and simulation results are satisfying.