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

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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
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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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