{"title":"提高非线性主动噪声控制系统的收敛性","authors":"K. Sirisha, N. George","doi":"10.1109/TECHSYM.2014.6807910","DOIUrl":null,"url":null,"abstract":"With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.","PeriodicalId":265072,"journal":{"name":"Proceedings of the 2014 IEEE Students' Technology Symposium","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improving convergence of nonlinear active noise control systems\",\"authors\":\"K. Sirisha, N. George\",\"doi\":\"10.1109/TECHSYM.2014.6807910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.\",\"PeriodicalId\":265072,\"journal\":{\"name\":\"Proceedings of the 2014 IEEE Students' Technology Symposium\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 IEEE Students' Technology Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TECHSYM.2014.6807910\",\"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 2014 IEEE Students' Technology Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TECHSYM.2014.6807910","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving convergence of nonlinear active noise control systems
With an objective to improve the convergence characteristics of nonlinear active noise control (ANC) systems, this paper proposes a discrete cosine transform based adaptive algorithm for ANC. The performance of the new algorithm in terms of speed of convergence has been compared with that of the filtered-s least mean square algorithm. The improved convergence of the new algorithm is evident from the simulation experiments.
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