{"title":"使用LMS算法有效实现自适应FIR-IFIR滤波器","authors":"E. Batista, O. J. Tobias, R. Seara","doi":"10.5281/ZENODO.41945","DOIUrl":null,"url":null,"abstract":"This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.","PeriodicalId":409817,"journal":{"name":"2010 18th European Signal Processing Conference","volume":"432 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient implementation of adaptive FIR-IFIR filters using the LMS algorithm\",\"authors\":\"E. Batista, O. J. Tobias, R. Seara\",\"doi\":\"10.5281/ZENODO.41945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.\",\"PeriodicalId\":409817,\"journal\":{\"name\":\"2010 18th European Signal Processing Conference\",\"volume\":\"432 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 18th European Signal Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.41945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 18th European Signal Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.41945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient implementation of adaptive FIR-IFIR filters using the LMS algorithm
This paper presents an approach for effectively implementing adaptive FIR-IFIR filters using the LMS algorithm. The motivation of such an approach is to use IFIR filters with removed boundary effect aiming to eliminate the loss of performance arisen from the FIR-IFIR combination for echo cancellation applications. Thereby, an algorithm with a better trade-off between performance and computational complexity is obtained as compared with other FIR-IFIR approaches. Numerical simulation results are presented attesting the effectiveness of the obtained algorithm.