| VariableBandwidth Smoothing Based on Cluster Analysis |
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| 引用本文： | 周小波,周雷,张贤达. VariableBandwidth Smoothing Based on Cluster Analysis[J]. 清华大学学报, 2000, 5(2): 180-182 |
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| 作者姓名： | 周小波 周雷 张贤达 |
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| 作者单位： | ZHOU Xiaobo ZHOU Lei ZHANG Xianda State Key Laboratory of Intelligent Technology and System，;Department of Automation，Tsinghua University，Beijing 100084，China |
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| 基金项目： | the National Natural Science Foundationof China!( No.69772 0 2 3 ) |
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| 摘 要： | Introduction Fouriertransforms,short-timeFouriertransformsandavarietyoffilterssuchastheWienerfilterandtheKalmanfilterarewell-knowntraditionalmethodsfordigitalsignalprocessingtorecoverfunctions.Avarietyofspatialadaptivemethodshavebeenrecentlyproposedinthestatisticalliterature[1].Suchmethodshavebeenshowntobebetterthanthetraditionalmethodswhicharebasedonfixedspatialscales,suchasFourierseriesmethods,fixed-bandwidthkernelmethods(nonparametricestimators),andlinearsplinesmoothers.Anewprinciplefo…
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Variable Bandwidth Smoothing Based on Cluster Analysis |
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| ZHOU Xiaobo,ZHOU Lei,ZHANG Xianda. Variable Bandwidth Smoothing Based on Cluster Analysis[J]. Tsinghua Science and Technology, 2000, 5(2): 180-182 |
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| Authors: | ZHOU Xiaobo ZHOU Lei ZHANG Xianda |
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| Abstract: | Piecewise variable bandwidth local polynomial smoothing was studied. A local polynomial smoothing method was given based on kernel functions and the optimal variable bandwidth choice was discussed using cluster analysis. Computer simulations show that the current method is better than Donoho's wavelet shrinkage method. |
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| Keywords: | variable bandwidth selection locally weighted regression cluster analysis |
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