{"title":"b样条在非参数系统辨识中的首次研究","authors":"P. Z. Csurcsia, J. Schoukens, I. Kollár","doi":"10.1109/WISP.2013.6657488","DOIUrl":null,"url":null,"abstract":"This contribution presents a smoothing technique for the identification of systems with a smooth impulse response function. Using a generalized and modified B-spline based methodology, an impulse response function can be estimated in the time domain or a frequency response function in the frequency domain. With respect to the system dynamics, it is possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.","PeriodicalId":350883,"journal":{"name":"2013 IEEE 8th International Symposium on Intelligent Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A first study of using B-splines in nonparametric system identification\",\"authors\":\"P. Z. Csurcsia, J. Schoukens, I. Kollár\",\"doi\":\"10.1109/WISP.2013.6657488\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This contribution presents a smoothing technique for the identification of systems with a smooth impulse response function. Using a generalized and modified B-spline based methodology, an impulse response function can be estimated in the time domain or a frequency response function in the frequency domain. With respect to the system dynamics, it is possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.\",\"PeriodicalId\":350883,\"journal\":{\"name\":\"2013 IEEE 8th International Symposium on Intelligent Signal Processing\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 8th International Symposium on Intelligent Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISP.2013.6657488\",\"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 IEEE 8th International Symposium on Intelligent Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISP.2013.6657488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A first study of using B-splines in nonparametric system identification
This contribution presents a smoothing technique for the identification of systems with a smooth impulse response function. Using a generalized and modified B-spline based methodology, an impulse response function can be estimated in the time domain or a frequency response function in the frequency domain. With respect to the system dynamics, it is possible 1) to reduce the disturbing noise 2) to decrease the effect of transients 3) to reduce the number of model parameters.