J.V. Lopez, J.C.S. Garcia, H. Meana, M. R. Macías, T.A. Ruiz
{"title":"具有编码误差的超适应LMS算法","authors":"J.V. Lopez, J.C.S. Garcia, H. Meana, M. R. Macías, T.A. Ruiz","doi":"10.1109/CERMA.2006.70","DOIUrl":null,"url":null,"abstract":"In this paper a modification to the mean square algorithm (LMS) appears, with the objective to reduce the floating point operations. This reduction allows to obtain a simple implementation of a digital adaptive filter, inside an integrated circuit, because a reduction of the floating point operations is made. The obtained advantages with this modification are the over adaptation of LMS algorithm, in order to increase the speed of convergence or higher frequency signals processing","PeriodicalId":179210,"journal":{"name":"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Over Adapted LMS Algorithm with Codified Error\",\"authors\":\"J.V. Lopez, J.C.S. Garcia, H. Meana, M. R. Macías, T.A. Ruiz\",\"doi\":\"10.1109/CERMA.2006.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a modification to the mean square algorithm (LMS) appears, with the objective to reduce the floating point operations. This reduction allows to obtain a simple implementation of a digital adaptive filter, inside an integrated circuit, because a reduction of the floating point operations is made. The obtained advantages with this modification are the over adaptation of LMS algorithm, in order to increase the speed of convergence or higher frequency signals processing\",\"PeriodicalId\":179210,\"journal\":{\"name\":\"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERMA.2006.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics, Robotics and Automotive Mechanics Conference (CERMA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2006.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper a modification to the mean square algorithm (LMS) appears, with the objective to reduce the floating point operations. This reduction allows to obtain a simple implementation of a digital adaptive filter, inside an integrated circuit, because a reduction of the floating point operations is made. The obtained advantages with this modification are the over adaptation of LMS algorithm, in order to increase the speed of convergence or higher frequency signals processing