中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共7条,第1-7条 帮助

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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
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
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
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:146/0  |  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