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	Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data 期刊论文 OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550 作者: Min, Wenwen; Liu, Juan; Zhang, Shihua \| 收藏 \| 浏览/下载：34/0 \| 提交时间：2021/04/26 Sparse SVD low-rank matrix decomposition group-sparse penalty overlapping group-sparse penalty coordinate descent method alternating direction method of multipliers (ADMM) data mining
	Study on Electrical Properties of Multilayered Spherical Earth by Wireless Electromagnetic Method 期刊论文 OAI收割 IEEE ACCESS, 2021, 卷号: 9, 页码: 54090-54100 作者: Gao, Ya; Di, Qingyun; Ma, Zhenjun; Yun, Zhe \| 收藏 \| 浏览/下载：102/0 \| 提交时间：2021/10/19 Earth Electromagnetic fields Ionosphere Electromagnetics Electromagnetic waveguides Electromagnetic scattering Impedance Extremely low frequency electromagnetic method spherical coordinate system “ earth-ionosphere” model multilayered sphere refined electrical structure
	Intramolecular C-H bond activation induced by a scandium terminal imido complex 期刊论文 OAI收割 chemical communications, 2012, 卷号: 48, 期号: 60, 页码: 7516-7518 Jian ZB; Rong WF; Mou ZH; Pan YP; Xie HY; Cui DM 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/06/30 TRANSITION-METAL-COMPLEXES REVERSIBLE 1 ORGANOIMIDO COMPLEXES 2-RH-ELIMINATION STRUCTURAL-CHARACTERIZATION HYDROCARBON ACTIVATION ALKYLIDENE COMPLEXES LOW-COORDINATE MULTIPLE-BOND 1ST EXAMPLE REACTIVITY
	Stabilization and tracking precision improved based on disturbance observer (EI CONFERENCE) 会议论文 OAI收割 2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China Sun G.; Zhu M.; Jia H. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 Based on the kinematics of semi-strapdown seeker the framework coordinate of the semi-strapdown seeker is established and the optical axis stabilization equation of semistrapdown seeker is deduced based on product of exponential (POE) formula. The stabilization control principle block diagram of semi-strapdown seeker is shown based on the stabilization equation. The main influence factors of the stability precision are pointed out such as friction disturbance velocity measurement noise and missile disturbance. For the sake of improving the stabilization precision and tracking precision disturbance observer was proposed in the inner loop of semi-strapdown seeker servo-control system. The low frequency external disturbance and high frequency velocity measurement noise are effectively restrained by the disturbance observer as shown in hardware-in-loop simulation and optical axis stabilization precision and tracking precision are greatly improved. 2011 IEEE.
	Optical axis stabilization of semi-strapdown seeker based on disturbance observer (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China Sun G.; Zhu M.; Yin S.; Jia H. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 Based on the kinematics of semi-strapdown seeker the framework coordinate of the seeker is established. The optical axis stability equation of semi-strapdown seeker is deduced by using attitude transformation matrix. Then the stability control principle block diagram of semi-strapdown seeker is shown based on the stability equation. The main factors that influence the stabilization precision are pointed out such as friction disturbance velocity-measuring noise and missile disturbance. In order to improve the stabilization precision disturbance observer was proposed in semi-strapdown seeker stability control. The low frequency external disturbance and high frequency velocity measurement noise are effectively restrained by the disturbance observer as shown in hardware-in-loop simulation and optical axis stabilization precision is improved nearly 20 times and 5 times due to two different frequencies with same amplitude. 2011 IEEE.
	Attitude determination of small, dim and high-speed targets based on multi-CMOS intersecting system (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Information Science and Engineering, ICISE2010, December 4, 2010 - December 6, 2010, Hangzhou, China 作者: Li M.; Zhao L.; Wang J. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 In order to measure attitude of small dim and high-speed targets in shooting range intersecting system based on multiple high-speed CMOS cameras was introduced in this paper. CMOS cameras were laid near from objects for small size using multiple CMOS cameras to compose intersecting system for big number of targets tested and selecting CMOS camera between CMOS and CCD for low cost and considering damage to measurement equipment of objects tested. Pitch angle and yaw angle were measured by extracting axle wire through image processing image sequences were obtained from cameras laying on two sides. Velocity of objects was calculated by least square curve-fitting acquiring coordinate of centroid on image received by CMOS camera laying below effective viewing field. One CMOS camera was laid on right ahead for measuring roll angle. Station mode introduced in this paper has virtue of low cost and free extending. 2010 IEEE.
	Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wu Y.-H. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1 2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak and it reduces processing time. Since the technique proposed uses all the image information including all the white noise in the image especially and it's hard to overcome the aliasing from noises but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.