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	Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm 期刊论文 OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2678-2685 作者: Wang, Ting; Zhang, Hang; Zhao, Yanlong \| 收藏 \| 浏览/下载：55/0 \| 提交时间：2020/09/23 Convergence Consensus algorithm Projection algorithms Noise measurement Estimation Multi-agent systems Approximation algorithms Binary-valued communications convergence convergence rate consensus control estimate multi-agent systems recursive projection algorithm
	Monochromatic-beam-based dynamic X-ray microtomography based on OSEM-TV algorithm 期刊论文 OAI收割 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2017, 卷号: 25, 期号: 6, 页码: 1007-1017 作者: Xu, L; Chen, RC; Yang, YM; Deng, B; Du, GH \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2018/08/30 Image-reconstruction Ct reconstruCtion Projection Data Tomography Noise
	Quantum spin squeezing 期刊论文 OAI收割 PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2011, 卷号: 509, 期号: 41308, 页码: 89-165 作者: Sun, CP 收藏 \| 浏览/下载：54/0 \| 提交时间：2013/05/17 BOSE-EINSTEIN CONDENSATE GRAVITATIONAL-WAVE DETECTOR CONTINUOUS VARIABLE SYSTEMS COLLECTIVE ATOMIC SPIN MULTI-QUBIT SYSTEMS 2-ATOM DICKE-MODEL COHERENT STATES PROJECTION NOISE KICKED TOP NONDEMOLITION MEASUREMENTS
	Study on medical X-ray coherent scatter imaging and processing based digital flat detector (EI CONFERENCE) 会议论文 OAI收割 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China 作者: Li B.; Zhao J.; Li B.; Li B.; Liu J. 收藏 \| 浏览/下载：52/0 \| 提交时间：2013/03/25 It is introduced a novel imaging technique for medical diagnostic X-ray coherent scatter in this paper. A set of experimental equipment for X-ray coherent scatter imaging was set up with X-ray digital flat detector and medical diagnostic X-ray source. According to this equipment the scatter images obtained are made of some circles with the same center. It is vital to calculate the energy template to classify the different samples. It is difficult to separate them using the traditional threshold method due to noise and overlapped shadow. In this paper the image was transformed a binary image by using K-Means algorithm and Mathematical Morphology Methods. The effective region was extracted from the binary image inside the orthogonal energy projection space then to calculate the centroid of rings. Consequently the curve of the energy distribution was built. The experiment results show that our method is reasonable and feasible. The technique will have wide foreground of application .Besides the imaging of human bone content it can be used for various imaging of tissue and organs in biology. 2010 IEEE.
	Research of improving the accuracy of license plate character segmentation (EI CONFERENCE) 会议论文 OAI收割 5th International Conference on Frontier of Computer Science and Technology, FCST 2010, August 18, 2010 - August 22, 2010, Changchun, China 作者: Zhu Y. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 In order to improve the accuracy of license plate character segmentation use line-shape filter to remove plate frames. Then character segmentation approach combines projection and inherent characteristics of character this paper strengthens preprocessings before segmentation. In character binarization can better solve character adhesion and fracture problem. For tilted characters only in horizontal direction use improved Bemsen method to reduce noise interference even without tilt correction this method can achieve better segmentation. Experiment results shows the accuarcy of character segmentation reaches 97%. 2010 IEEE.
	Blind channel estimation of MIMO-OFDM based on FDPM (EI CONFERENCE) 会议论文 OAI收割 5th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2009, September 24, 2009 - September 26, 2009, Beijing, China Gang W.; Ming Z.; Hua C. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Subspace based methods have been widely discussed in multichannel estimation including MIMO-OFDM system. However direct subspace methods suffer from heavy computation complexity y of O(N3). In this paper a new subspace tracking technique called Fast Data Projection Method (FDPM) is proposed for adaptively tracking the noise subspace. The new algorithm has low complexity of O(NL) and is the only numerically stable low complexity algorithm for tracking subspaces corresponding to the smallest singular values. Simulation results show that the proposed scheme has similar performance to the original. 2009 IEEE.