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一种基于支持向量机建模的新型自适应滤波器

A new Widrow adaptive filter based on supportive vector machine

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【Author】 LIU Bin~1, LI Zhuo~2, LIU Tie-nan~1, YU Sheng-yang~3, REN Zhen-zhen~4 ( 1. Electricity and Information Engineering College, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China; 2. Geoscience College, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China; 3. Personnel Department, Jilin Petroleum Group Co. Ltd., Songyuan, Jilin 138000, China; 4. Department of foreign languages, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China )

【机构】大庆石油学院电气信息工程学院；大庆石油学院地球科学学院；吉林石油集团公司人事部；大庆石油学院外语系黑龙江大庆163318；黑龙江大庆163318；吉林松原138000；黑龙江大庆163318；

【摘要】在Widrow B等人的自适应逆控制理论的基础上,提出了一种基于支持向量机的自适应滤波器.介绍了支持向量机的基本理论,结合支持向量机算法给出了该滤波器的原理图,讨论了滤波器的工作过程.计算机仿真实例表明,时变噪声的污染已被完全消除,新型自适应滤波器效果明显.更多还原

【Abstract】 This paper proposes a new adaptive filter based on support vector machine The new adaptive filter is based on the adaptive inverse control which is put forward by Widrow. Firstly, the basic principle of SVM is introduced. And the paper analyses the structure of the new adaptive filter based on SVM. Then the processing of the filter is discussed in detail. Lastly,, the time-varied noise has been filtered. The experiment given has proved the validity of the new algorithm.更多还原

【关键词】统计学习理论；支持向量机；自适应滤波器；
【Key words】 statistical learning theory； supportive vector machine； adaptive filter；

【文献出处】大庆石油学院学报 ,Journal of Daqing Petroleum Institute , 编辑部邮箱 ,2005年04期

【分类号】TN713
【被引频次】4
【下载频次】173

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