{"title":"两个时变LMS自适应滤波器的仿射组合","authors":"A. Kaleem, A. I. Tamboli","doi":"10.1109/ICCICT.2012.6398212","DOIUrl":null,"url":null,"abstract":"Combination approaches provide flexible and versatile solution to improve adaptive filter performance. In this paper, mean square performance of an affine combination of two time varying (TV) LMS adaptive filters is studied. The purpose of this combination is to obtain TV LMS adaptive filter with fast convergence and small mean square error (MSE).Two practical schemes proposed in [1] are used for this case. Simulation results indicate that these schemes yield overall MSE that is less than the MSE of either filter. Moreover this combination is better than combination of two LMS adaptive filters.","PeriodicalId":319467,"journal":{"name":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An affine combination of two time varying LMS adaptive filters\",\"authors\":\"A. Kaleem, A. I. Tamboli\",\"doi\":\"10.1109/ICCICT.2012.6398212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Combination approaches provide flexible and versatile solution to improve adaptive filter performance. In this paper, mean square performance of an affine combination of two time varying (TV) LMS adaptive filters is studied. The purpose of this combination is to obtain TV LMS adaptive filter with fast convergence and small mean square error (MSE).Two practical schemes proposed in [1] are used for this case. Simulation results indicate that these schemes yield overall MSE that is less than the MSE of either filter. Moreover this combination is better than combination of two LMS adaptive filters.\",\"PeriodicalId\":319467,\"journal\":{\"name\":\"2012 International Conference on Communication, Information & Computing Technology (ICCICT)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Communication, Information & Computing Technology (ICCICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCICT.2012.6398212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Communication, Information & Computing Technology (ICCICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCICT.2012.6398212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An affine combination of two time varying LMS adaptive filters
Combination approaches provide flexible and versatile solution to improve adaptive filter performance. In this paper, mean square performance of an affine combination of two time varying (TV) LMS adaptive filters is studied. The purpose of this combination is to obtain TV LMS adaptive filter with fast convergence and small mean square error (MSE).Two practical schemes proposed in [1] are used for this case. Simulation results indicate that these schemes yield overall MSE that is less than the MSE of either filter. Moreover this combination is better than combination of two LMS adaptive filters.
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