{"title":"使用符号回归最小平均四次算法的自适应信道均衡","authors":"Mohammed Mujahid Ulla Faiz, A. Zerguine","doi":"10.1109/SIECPC.2011.5876986","DOIUrl":null,"url":null,"abstract":"In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regressor least mean fourth (SRLMF) algorithm is investigated in an adaptive channel equalization scenario. The simulation results indicate that both the LMF and the SRLMF algorithms exhibit similar bit error rate (BER) performance. Moreover, the results show that the SRLMF algorithm has a slight performance degradation in terms of convergence behavior when compared with the LMF algorithm.","PeriodicalId":125634,"journal":{"name":"2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Adaptive channel equalization using the sign regressor least mean fourth algorithm\",\"authors\":\"Mohammed Mujahid Ulla Faiz, A. Zerguine\",\"doi\":\"10.1109/SIECPC.2011.5876986\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regressor least mean fourth (SRLMF) algorithm is investigated in an adaptive channel equalization scenario. The simulation results indicate that both the LMF and the SRLMF algorithms exhibit similar bit error rate (BER) performance. Moreover, the results show that the SRLMF algorithm has a slight performance degradation in terms of convergence behavior when compared with the LMF algorithm.\",\"PeriodicalId\":125634,\"journal\":{\"name\":\"2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIECPC.2011.5876986\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIECPC.2011.5876986","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive channel equalization using the sign regressor least mean fourth algorithm
In this paper, the performance analysis of the least mean fourth (LMF) algorithm and the sign regressor least mean fourth (SRLMF) algorithm is investigated in an adaptive channel equalization scenario. The simulation results indicate that both the LMF and the SRLMF algorithms exhibit similar bit error rate (BER) performance. Moreover, the results show that the SRLMF algorithm has a slight performance degradation in terms of convergence behavior when compared with the LMF algorithm.
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