{"title":"数字通信中改进的自适应滤波算法研究","authors":"Zhao Xiaoming, Guo Wenping, Chen Ying","doi":"10.1109/ICCT.2008.4716295","DOIUrl":null,"url":null,"abstract":"Adaptive signal processing, an important branch in the Signal and Information Processing field, is widely used in the signal processing in digital communication owning to its superiority. While this paper point out the defect of this algorithm on the basis of the adaptive local noise elimination filtering algorithm introduced by American Professor Rafael C. Gonzalez and put forward a new improved adaptive filtering algorithm which has reduced the mean square error by one-fourth, and raised various signal-to-noise ratios SNR, SNRm and PSNR by one-tenth. So it is more effective in eliminating local noise and enjoys higher promotion value.","PeriodicalId":259577,"journal":{"name":"2008 11th IEEE International Conference on Communication Technology","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of an improved adaptive filtering algorithm in digital communication\",\"authors\":\"Zhao Xiaoming, Guo Wenping, Chen Ying\",\"doi\":\"10.1109/ICCT.2008.4716295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adaptive signal processing, an important branch in the Signal and Information Processing field, is widely used in the signal processing in digital communication owning to its superiority. While this paper point out the defect of this algorithm on the basis of the adaptive local noise elimination filtering algorithm introduced by American Professor Rafael C. Gonzalez and put forward a new improved adaptive filtering algorithm which has reduced the mean square error by one-fourth, and raised various signal-to-noise ratios SNR, SNRm and PSNR by one-tenth. So it is more effective in eliminating local noise and enjoys higher promotion value.\",\"PeriodicalId\":259577,\"journal\":{\"name\":\"2008 11th IEEE International Conference on Communication Technology\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 11th IEEE International Conference on Communication Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCT.2008.4716295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th IEEE International Conference on Communication Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2008.4716295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
自适应信号处理作为信号与信息处理领域的一个重要分支,以其自身的优越性在数字通信信号处理中得到了广泛的应用。本文在美国教授Rafael C. Gonzalez介绍的自适应局部消噪滤波算法的基础上,指出了该算法的缺陷,提出了一种新的改进自适应滤波算法,该算法将均方误差降低了1 / 4,将各种信噪比SNR、SNRm和PSNR提高了1 / 10。因此更有效地消除了局部噪声,具有更高的推广价值。
Research of an improved adaptive filtering algorithm in digital communication
Adaptive signal processing, an important branch in the Signal and Information Processing field, is widely used in the signal processing in digital communication owning to its superiority. While this paper point out the defect of this algorithm on the basis of the adaptive local noise elimination filtering algorithm introduced by American Professor Rafael C. Gonzalez and put forward a new improved adaptive filtering algorithm which has reduced the mean square error by one-fourth, and raised various signal-to-noise ratios SNR, SNRm and PSNR by one-tenth. So it is more effective in eliminating local noise and enjoys higher promotion value.