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山东大学 [6]

安徽大学 [5]

北京大学 [4]

清华大学 [3]

大连理工大学 [3]

北京航空航天大学 [2]

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浏览/检索结果: 共39条，第1-10条

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	Convergence rate of eigenvector empirical spectral distribution of large Wigner matrices 期刊论文 STATISTICAL PAPERS, 2019, 卷号: 60, 期号: 3, 页码: 633-665 作者: Xia, Ningning; Bai, Zhidong 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/08/22 Wigner matrices Eigenvectors Empirical spectral distribution Semicircular law Convergence rate
	Research on Exact Thresholds for ARAIM MHSS Fault Monitoring 期刊论文 MATHEMATICAL PROBLEMS IN ENGINEERING, 2019, 卷号: 2019 作者: Zhang, Sida; Wang, Zhipeng; Gao, Zhen 收藏 \| 浏览/下载：6/0 \| 提交时间：2019/12/30 Eigenvalues and eigenfunctions Statistical tests Statistics Detection methods Eigenvectors and eigenvalues Fault monitoring Multiple hypothesis Omnidirectionality Receiver autonomous integrity monitoring Test statistics Fault detection
	Joint DOD and DOA estimation for bistatic multiple-input multiple-output radar target discrimination based on improved unitary ESPRIT method 期刊论文 IET COMMUNICATIONS, 2018, 卷号: 12, 期号: 12, 页码: 1397-1405 作者: Gong, Shu; Xiong, Hailiang; Peng, Meixuan; Ding, Xuewen; Tang, Huaibin 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/11 eigenvalues and eigenfunctions signal classification direction-of-arrival estimation MIMO radar radar signal processing improved unitary ESPRIT method target position estimation direction-of-arrival estimation algorithms DOA MUSIC eigenvectors N-2 sensors direction-of-departure estimation algorithms bistatic multiple-multiple-output radar target discrimination two-dimensional multiple signal classification joint DOD rotational invariance technique algorithm signal parameters improved unitary estimation pairing process traditional estimation algorithms
	iVI: An Iterative Vector Interaction Method for Large Eigenvalue Problems 期刊论文 JOURNAL OF COMPUTATIONAL CHEMISTRY, 2017 Huang, Chao; Liu, Wenjian; Xiao, Yunlong; Hoffmann, Mark R. 收藏 \| 浏览/下载：5/0 \| 提交时间：2017/12/03 large matrix eigenpair static-dynamic-static-iterative vector interaction perturbative selection made iteratively HARMONIC RESIDUAL METHOD DAVIDSON METHOD LINEAR-SYSTEMS LARGE MATRICES WAVE-FUNCTIONS EIGENVECTORS PERTURBATION ALGORITHMS LOWEST
	A Method of Abnormal States Detection Based on Adaptive Extraction of Transformer Vibro-Acoustic Signals 期刊论文 ENERGIES, 2017, 卷号: 10, 期号: 12 作者: Zou, Liang; Guo, Yongkang; Liu, Han; Zhang, Li; Zhao, Tong 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/12 transformer vibro-acoustic signal SCA potential function adaptive extraction eigenvectors detection of abnormal states
	Lower bounds for algebraic connectivity of graphs in terms of matching number or edge covering number 期刊论文 ARS COMBINATORIA, 2016, 卷号: Vol.125, 页码: 361-370 作者: Tan,Ying-Ying; Fan,Yi-Zheng; Xu,Jing 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/04/22 LAPLACIAN SPECTRUM DOMINATION NUMBER TREES EIGENVECTORS MATRICES
	Characterizing thermo-mechanical behavior of superalloy using the eigenfunction virtual fields method 期刊论文 ADVANCES IN ENGINEERING SOFTWARE, 2016, 卷号: 93, 页码: 22-29 作者: Hao, Wenfeng[1]; Guo, Guangping[2]; Zhang, Yue[3]; Chen, Xinwen[4] 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/24 Thermo-mechanical coupling Eigenfunction virtual fields method Superalloy Principal components analysis Eigenvectors Strain field
	A Stock Market Forecasting Model Combining Two-Directional Two-Dimensional Principal Component Analysis and Radial Basis Function Neural Network 期刊论文 PLOS ONE, 2015, 卷号: 10, 期号: 4, 页码: e0122385 作者: Guo, Zhiqiang*; Wang, Huaiqing; Yang, Jie; Miller, David J. 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/04 Forecasting,Stock markets,Principal component analysis,Neural networks,Curve fitting,Algorithms,Eigenvectors,Preprocessing
	Extracting principal parameters of complex networks 其他 2015-01-01 Ma, Yifang; Zheng, Zhiming 收藏 \| 浏览/下载：4/0 \| 提交时间：2017/12/03 Network ensemble principal parameters scale function eigenvectors DYNAMICS
	Rounding errors of partial derivatives of simple eigenvalues of the quadratic eigenvalue problem 其他 2015-01-01 Lu, Xin; Xu, Shufang 收藏 \| 浏览/下载：4/0 \| 提交时间：2015/11/10 Rounding error Partial derivative Simple eigenvalue Quadratic eigenvalue problem DAMPED SYSTEMS EIGENVECTORS SENSITIVITY

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