中国科学院机构知识库网格系统: 检索

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	Evaluating the Accuracy of Small P-Values In Genetic Association Studies Using Edgeworth Expansions 期刊论文 OAI收割 SCANDINAVIAN JOURNAL OF STATISTICS, 2018, 卷号: 45, 期号: 1, 页码: 1-33 作者: Zheng, Gang; Xiong, Jinghong; Li, Qizhai; Xu, Jinfeng; Yuan, Ao \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2018/07/30 chi-squared test Edgeworth expansion maximin efficiency robust test (MERT) maximum likelihood estimate nuisance parameter
	Linear auto disturbance rejection controller for vector-controlled PMSM drive system (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Transportation, Mechanical, and Electrical Engineering, TMEE 2011, December 16, 2011 - December 18, 2011, Changchun, China 作者: Zhang K.; Zhang K.; Zhang K.; Zhang K. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 A high-performance robust controller of permanent-magnet synchronous motor (PMSM) drive with cascade linear auto disturbance rejection controller (LADRC) is proposed. The robust controller combines the simplicity of linear controller and the merit of the auto disturbance rejection controller (ADRC). First a systematic mathematical model is derived according to the required specifications for the PMSM drive system. Then for the model this paper designs the controller that includes three first-order LADRCs. The controller does not rely on the accurate mathematical model of motor. The controller can estimate and compensate the disturbances that include load disturbance and systematic parameters changes by the linear extended state observer (LESO). Simulation results show that compared with conventional PI controller the proposed approach has strong robustness. In the same load disturbance the speed fluctuation of the LADRCs accounts for 30% of PI controller. 2011 IEEE.
	Study particle filter tracking and detection algorithms based on DSP signal processors (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Dong Y.; Chuan W. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In Video tracking detection and tracking usually need two algorithms. The process is complex and need much time which detection and tracking are. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance flag and of location. Particle filter-based method implements detection and tracking at one time. In order to reduce process time and think of pixel position in tracking field feature histogram of luminance is as observe vector and used posterior estimate. In this paper the luminance component is derived and target is recognized and tracked through image processor based on DSP in order to implementing real-time. The experimental results confirm that method can detect and track the object in real-time successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2010 IEEE.
	Study on color image tracking and detection algorithms based on particle filter (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, June 17, 2009 - June 19, 2009, Beijing, China Wu C.; Sun H.-J.; Yang D. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 In Video tracking detection and tracking need two algorithms. The process is complex and need much time which detection and tracking is. In this paper a hybrid valued sequential state vector is formulated. The state vector is characterized by information of target appearance and of location. Particle filter-based method implements detection and tracking. In order to reduce process time and think of pixel position in tracking field feature histogram of color-based is as observe vector and used posterior estimate. The experimental results confirm that method can detect and track object in 17.68ms successfully when the number of particles is 160. The method is robust for rolling scale and partial occlusion. 2009 SPIE.
	Robust estimation for the fundamental matrix based on lts and bucketing 会议论文 OAI收割 7th International Conference on Wavelet Analysis and Pattern Recognition, Baoding, China, July 12-15, 2009 作者: Huang YJ(黄以君); Liu WJ(刘伟军) 收藏 \| 浏览/下载：23/0 \| 提交时间：2012/06/06 computer vision fundamental matrix robust estimate LTS bucketing technique
	Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文 OAI收割 2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：143/0 \| 提交时间：2013/03/25 A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates in addition firstly on the basis of correct recognition we segment the object regions in them and compute their covariant matrices. Secondly it can estimate affine parameters exactly normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants and the estimated error is within 3%. 2008 IEEE. and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance if more than one value is larger than threshold take the corresponding templates as candidates and compute affine matrix between real-time image and every candidate. Finally transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination with low computational complexity and it can realize recognition of different affine objects
	The asymptotic variance-covariance matrix, Baarda test and the reliability of L-1-norm estimates 期刊论文 OAI收割 JOURNAL OF GEODESY, 2005, 卷号: 78, 期号: 11-12, 页码: 668-682 作者: Junhuan, P 收藏 \| 浏览/下载：28/0 \| 提交时间：2015/08/14 L-1-norm estimate modified L-1-norm estimate Bahadur-type linear representation asymptotic variance covariance matrix Baarda test statistic reliability outliers/gross errors leverage points robust estimation