C. Benjangkaprasert, S. Phuvasitkul, W. Limwong, K. Janchitrapongvej
{"title":"基于遗传搜索和变步长算法的自适应IIR陷波滤波器快速收敛算法","authors":"C. Benjangkaprasert, S. Phuvasitkul, W. Limwong, K. Janchitrapongvej","doi":"10.1109/ITSC.2003.1252626","DOIUrl":null,"url":null,"abstract":"In this paper, the combination of genetic algorithm and a new variable step-size algorithm for a second-order adaptive IIR notch filter is presented. The objective of the new algorithm is to optimize the filter coefficient. The results of computer simulation show that the new algorithm provides a good performance such as fast convergence rate, low mean square error and noise robustness. In addition, the new algorithm is also applied to cancel 50-Hz power line interference in the recording of electrocardiograms signal.","PeriodicalId":123155,"journal":{"name":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","volume":"93 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm\",\"authors\":\"C. Benjangkaprasert, S. Phuvasitkul, W. Limwong, K. Janchitrapongvej\",\"doi\":\"10.1109/ITSC.2003.1252626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the combination of genetic algorithm and a new variable step-size algorithm for a second-order adaptive IIR notch filter is presented. The objective of the new algorithm is to optimize the filter coefficient. The results of computer simulation show that the new algorithm provides a good performance such as fast convergence rate, low mean square error and noise robustness. In addition, the new algorithm is also applied to cancel 50-Hz power line interference in the recording of electrocardiograms signal.\",\"PeriodicalId\":123155,\"journal\":{\"name\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"volume\":\"93 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITSC.2003.1252626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2003.1252626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm
In this paper, the combination of genetic algorithm and a new variable step-size algorithm for a second-order adaptive IIR notch filter is presented. The objective of the new algorithm is to optimize the filter coefficient. The results of computer simulation show that the new algorithm provides a good performance such as fast convergence rate, low mean square error and noise robustness. In addition, the new algorithm is also applied to cancel 50-Hz power line interference in the recording of electrocardiograms signal.