The optimal discriminant vector based on AR model parameters and its effect analysis

被引：0
|
作者：
Zhao, T.-Y. [1 ]
Jin, Y.-X. [1 ]
Ji, X.-J. [1 ]
机构：
[1] Dept. of Mechatronic Engineering, North China Institute of Technology, Taiyuan 030051, China
来源：
Huabei Gongxueyuan Xuebao/Journal of North China Institute of Technology | 2001年 / 22卷 / 03期
关键词：
D O I：
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中图分类号：
学科分类号：
摘要：
Aim An extracting method of optimal feature vector used for pattern recognition is studied. Methods Based on AR model parameters are acquired through the rule of fisher. Results Tested data of vehicle noise show that the feature vectors extracted through the method have good stability and give good identification effect for vehicle targets. Conclusion This method is feasible to feature extraction.
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页码：204 / 207
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