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weishi peng, yangwang fang, "Enhanced error spectrum for estimation performance evaluation"

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ÎÄÏ×ÀàÐÍ:Article
ÓïÖÖ:English
Èë²ØºÅ: WOS:000374618900027
ISSN: 0030-4026
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peng_weishi: ½ð±Ò+10, лл 2016-06-02 23:59:28
sunshan4379: LS-EPI+1, ¸ÐлӦÖú£¡ 2016-06-03 19:53:47
Enhanced error spectrum for estimation performance evaluation
×÷Õßeng, WS (Peng, Weishi)[ 1,3 ] ; Fang, YW (Fang, Yangwang)[ 1 ] ; Duan, ZS (Duan, Zhansheng)[ 2 ] ; Wang, BH (Wang, Binghe)[ 3 ]
OPTIK
¾í: 127  ÆÚ: 12  Ò³: 5084-5091
DOI: 10.1016/j.ijleo.2016.02.063
³ö°æÄê: 2016
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The error spectrum is a comprehensive metric for estimation performance evaluation in that it is an aggregation of many incomprehensive measures. However, the error spectrum is a two-dimensional curve for any estimand (i.e., the quantity to be estimated) of interest. Therefore, unless one error spectrum dominates the others, it is in general not straightforward to say which one is better. Although the dynamic error spectrum (i.e., the average height of the error spectrum) was proposed to tackle this problem, it suffers from the problem of information loss due to the mapping of the whole error spectrum at a time instant into a single point. Particularly, if the average heights of two error spectrums are the same, they are still indistinguishable. To alleviate this, two new metrics called range error spectrum induced area and dynamic error spectrum'induced area are proposed in this paper. Then how to combine these two new metrics, called as enhanced error spectrum, are further studied. An additive and a multiplicative form of the enhanced error spectrum are presented respectively for different scenarios. A numerical example is provided to illustrate the effectiveness of the metrics. It is shown that due to the consideration of more information, the new metrics have greater applicability than the dynamic error spectrum. (C) 2016 Elsevier GmbH. All rights reserved.
¹Ø¼ü´Ê
×÷Õ߹ؼü´Ê:Estimation; Estimation performance evaluation; Error spectrum; Dynamic error spectrum; Multi-objective optimization
KeyWords PlusITMAN CLOSENESS; DECISION-MAKING
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ͨѶ×÷ÕßµØÖ·: Duan, ZS (ͨѶ×÷Õß)
ÏÔʾÔöÇ¿×éÖ¯ÐÅÏ¢µÄÃû³Æ        Xi An Jiao Tong Univ, Ctr Informat Engn Sci Res, Xian 710049, Shaanxi, Peoples R China.
µØÖ·:
              [ 1 ] Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Shaanxi, Peoples R China
ÏÔʾÔöÇ¿×éÖ¯ÐÅÏ¢µÄÃû³Æ        [ 2 ] Xi An Jiao Tong Univ, Ctr Informat Engn Sci Res, Xian 710049, Shaanxi, Peoples R China
              [ 3 ] Sch People Armed Police Engn Univ, Xian 710086, Shaanxi, Peoples R China
µç×ÓÓʼþµØÖ·:zhanshengduan@hotmail.com
»ù½ð×ÊÖúÖÂл
»ù½ð×ÊÖú»ú¹¹        ÊÚȨºÅ
National 973 Project of China        
2013CB329405
National Natural Science Foundation of China        
61174138
Fundamental Research Funds for the Central Universities of China          
²é¿´»ù½ð×ÊÖúÐÅÏ¢   
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ELSEVIER GMBH, URBAN & FISCHER VERLAG, OFFICE JENA, P O BOX 100537, 07705 JENA, GERMANY
Àà±ð / ·ÖÀà
Ñо¿·½Ïò:Optics
Web of Science Àà±ð:Optics
ÎÄÏ×ÐÅÏ¢
ÎÄÏ×ÀàÐÍ:Article
ÓïÖÖ:English
Èë²ØºÅ: WOS:000374618900027
ISSN: 0030-4026
ÆÚ¿¯ÐÅÏ¢
Impact Factor (Ó°ÏìÒò×Ó): Journal Citation Reports®
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IDS ºÅ: DK0RC
Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 30
Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0
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