{"title":"共轭梯度均衡器自适应算法与LMS算法","authors":"J. Tasic, P. Blaznik","doi":"10.1109/MELCON.1989.50017","DOIUrl":null,"url":null,"abstract":"The LMS (least mean square) and conjugate-gradient window (CGW) algorithms are considered for use in digital equalizers. The equalizer with implementation of the CGW algorithm is shown to require more computation, but the convergence is faster and the equalizer can be used in worse conditions. The simulation results are encouraging. The implementation of the CGW method for multilevel quadrature modulation is noted.<<ETX>>","PeriodicalId":380214,"journal":{"name":"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Conjugate gradient equalizers adaptation algorithm versus LMS algorithm\",\"authors\":\"J. Tasic, P. Blaznik\",\"doi\":\"10.1109/MELCON.1989.50017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The LMS (least mean square) and conjugate-gradient window (CGW) algorithms are considered for use in digital equalizers. The equalizer with implementation of the CGW algorithm is shown to require more computation, but the convergence is faster and the equalizer can be used in worse conditions. The simulation results are encouraging. The implementation of the CGW method for multilevel quadrature modulation is noted.<<ETX>>\",\"PeriodicalId\":380214,\"journal\":{\"name\":\"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MELCON.1989.50017\",\"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. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering',","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.1989.50017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conjugate gradient equalizers adaptation algorithm versus LMS algorithm
The LMS (least mean square) and conjugate-gradient window (CGW) algorithms are considered for use in digital equalizers. The equalizer with implementation of the CGW algorithm is shown to require more computation, but the convergence is faster and the equalizer can be used in worse conditions. The simulation results are encouraging. The implementation of the CGW method for multilevel quadrature modulation is noted.<>
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