{"title":"基于遗传算法的i - id激励下二次系统盲辨识","authors":"I. Cherif, S. Abid, F. Fnaiech","doi":"10.1109/ISSPA.2005.1580975","DOIUrl":null,"url":null,"abstract":"In this paper, a new approach to quadratic blind system identification is proposed. This approach enables a nonlinear relationship between model kernels and output cumulants up to the third order by means of Genetic Algorithm (GA). Simulation results are presented to show good performance of this approach.","PeriodicalId":385337,"journal":{"name":"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Blind identification of quadratic systems under i.i.d. excitation using genetic algorithms\",\"authors\":\"I. Cherif, S. Abid, F. Fnaiech\",\"doi\":\"10.1109/ISSPA.2005.1580975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new approach to quadratic blind system identification is proposed. This approach enables a nonlinear relationship between model kernels and output cumulants up to the third order by means of Genetic Algorithm (GA). Simulation results are presented to show good performance of this approach.\",\"PeriodicalId\":385337,\"journal\":{\"name\":\"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2005.1580975\",\"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 Eighth International Symposium on Signal Processing and Its Applications, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2005.1580975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blind identification of quadratic systems under i.i.d. excitation using genetic algorithms
In this paper, a new approach to quadratic blind system identification is proposed. This approach enables a nonlinear relationship between model kernels and output cumulants up to the third order by means of Genetic Algorithm (GA). Simulation results are presented to show good performance of this approach.