| 基于变异系数的多传感器数据判别方法 |
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| 引用本文： | 张应华,刘先省,王娟.基于变异系数的多传感器数据判别方法[J].河南大学学报(自然科学版),2007,37(2):187-190. |
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| 作者姓名： | 张应华 刘先省 王娟 |
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| 作者单位： | 河南大学,计算机与信息工程学院,河南,开封,475001 |
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| 基金项目： | 国家自然科学基金
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河南省自然科学基金 |
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| 摘 要： | 根据多传感器获取的数据,可以判别被观测对象的属性.为了解决以往仅利用距离判别对象归属所导致的计算量过大、运算速度较慢等问题,本文提出一种利用变异系数将对象进行归属判别的方法.仿真结果表明,该算法在计算量方面有明显降低,效率得到显著提高.
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| 关 键 词： | 多传感器 数据融合 变异系数 判别分析 |
| 文章编号： | 1003-4978（2007）02-0187-04 |
| 修稿时间： | 2006-04-18 |
A Method of Discriminatory Analysis for Multi-sensors Data Based on Coefficient of Variation |
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| ZHANG Ying-hua,LIU Xian-xing,WANG Juan.A Method of Discriminatory Analysis for Multi-sensors Data Based on Coefficient of Variation[J].Journal of Henan University(Natural Science),2007,37(2):187-190. |
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| Authors: | ZHANG Ying-hua LIU Xian-xing WANG Juan |
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| Institution: | College of Computer and Information Engineering, Henan University, Henan Kai feng 475001, China |
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| Abstract: | Using data from different sensors,it can discriminate the belonging type of the object.In order to solve the problems of colossal computing dimension and low efficiency and so on,this paper presents a new algorithm what utilizes coefficient of variation to discriminate the belonging type of the object.The simulation results show that,compared with the former method,this algorithm reduces the computing burden and improves the discrimination efficiency conspicuously. |
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| Keywords: | multi-sensors data fusion coefficient of variation discriminatory analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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