COVARIANCE

作品数:212被引量:437H指数:10
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相关领域:电子电信更多>>
相关作者:郑希吴建国石春海叶子弘葛国科更多>>
相关机构:浙江大学华东师范大学国防科学技术大学坦佩雷大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划上海市自然科学基金更多>>
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On Covariance Switch-Based Invariant Extended Kalman Filter for Multi-Source Fusion
《Guidance, Navigation and Control》2024年第4期146-171,共26页Jiale Han Wei Ouyang Maoran Zhu Yuanxin Wu 
supported by National Key R&D Program(2022YFB3903802);National Natural Science Foundation(62303310,62273228)
The good estimation consistency of Invariant Extended Kalman Filter(InEKF)is mainly attributed to its excellent trajectory-independent property.However,when the InEKF is applied to multi-source inertial-based navigati...
关键词:Covariance switch invariant extended Kalman filter inertial-based navigation multi-source integrated navigation 
Conditional Kernel Covariance and Correlation
《数学进展》2024年第6期1158-1172,共15页BAI Qianxue SHI Yuke YANG Qing LI Qizhai 
partially supported by Knowledge Innovation Program of Hubei Province(No.2019CFB810);partially supported by NSFC(No.12325110);the CAS Project for Young Scientists in Basic Research(No.YSBR-034)。
The conditional kernel correlation is proposed to measure the relationship between two random variables under covariates for multivariate data.Relying on the framework of reproducing kernel Hilbert spaces,we give the ...
关键词:conditional kernel correlation reproducing kernel Hilbert space conditional independence test 
Direction finding of bistatic MIMO radar in strong impulse noise
《Journal of Systems Engineering and Electronics》2024年第4期888-898,共11页CHEN Menghan GAO Hongyuan DU Yanan CHENG Jianhua ZHANG Yuze 
This work was supported by the National Natural Science Foundation of China(62073093);the Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province(LBH-Q19098);the Heilongjiang Provincial Natural Science Foundation of China(LH2020F017);the Key Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology.
For bistatic multiple-input multiple-output(MIMO)radar,this paper presents a robust and direction finding method in strong impulse noise environment.By means of a new lower order covariance,the method is effective in ...
关键词:bistatic multiple-input multiple-output(MIMO)radar impulse noise direction finding lower order covariance quan-tum equilibrium optimizer algorithm(QEOA) maximum likeli-hood estimation method Cramér-Rao bound(CRB) 
Evaluation of neutron cross sections of^(48)Ti based on the Unified-Monte-Carlo-B method
《Chinese Physics C》2024年第7期118-130,共13页夏候琼 续瑞瑞 刘萍 Roberto Capote 田源 陶曦 吴小飞 张玥 葛智刚 舒能川 冯松 
Supported by the National Key Research and Development(R&D)Program(2022YFA1602403);Continuous Support Basic Scientific Research Project BJ010261223282。
A cross section evaluation of neutron induced reactions on^(48)Ti is undertaken using the Unified Monte Carlo-B(UMC-B)approach.The evaluation concentrates on estimating the covariance and the use of the UMC-B allows a...
关键词:COVARIANCE Unified Monte Carlo B(UMC-B) ^(48)Ti neutron cross sections Cholesky factor-ization approach 
Variable Selection for Generalized Linear Model with Highly Correlated Covariates
《Acta Mathematica Sinica,English Series》2024年第6期1458-1480,共23页Li Li YUE Wei Tao WANG Gao Rong LI 
Supported by the National Natural Science Foundation of China(Grant Nos.12001277,12271046 and 12131006)。
The penalized variable selection methods are often used to select the relevant covariates and estimate the unknown regression coefficients simultaneously,but these existing methods may fail to be consistent for the se...
关键词:Generalized linear model highly correlated covariates Lasso penalty semi-standard partial covariance variable selection 
Novel data-driven sparse polynomial chaos and analysis of covariance for aerodynamics of compressor cascades with dependent geometric uncertainties被引量:1
《Chinese Journal of Aeronautics》2024年第6期89-108,共20页Zhengtao GUO Wuli CHU Haoguang ZHANG Tianyuan JI 
the National Science and Technology Major Project of China(No.J2019-I-0011);the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University,China(No.CX2023057)for supporting the research work.
Polynomial Chaos Expansion(PCE)has gained significant popularity among engineers across various engineering disciplines for uncertainty analysis.However,traditional PCE suffers from two major drawbacks.First,the ortho...
关键词:Data-driven sparse polyno-mial chaos Analysis of covariance Dependent uncertainty Aerodynamic performance Compressor cascade 
Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance
《IEEE/CAA Journal of Automatica Sinica》2024年第4期866-877,共12页Elham Javanfar Mehdi Rahmani 
This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown cova...
关键词:Data-based filter maximum likelihood estimation unknown covariance weighted maximum likelihood estimation weighted sum-of-norms clustering 
Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular–Structural–Functional Co-alterations
《Research》2024年第1期471-487,共17页Lin Jiang Yueheng Peng Runyang He Qingqing Yang Chanlin Yi Yuqin Li Bin Zhu Yajing Si Tao Zhang Bharat B.Biswal Dezhong Yao Lan Xiong Fali Li Peng Xu 
the STI 2030-Major Projects(#2022ZD0208500,#2022ZD02114000,and#2022ZD0208900);the National Natural Science Foundation of China(#62103085,#61961160705,#U19A2082,and#62006197);the Science and Technology Development Fund,Macao SAR(file no.0045/2019/AFJ);the Key R&D Projects of Science&Technology Department of Sichuan Province(#23ZDYF0961);the Scientific Research Foundation of Sichuan Provincial People's Hospital(#2021LY21).
Human cognition is usually underpinned by intrinsic structure and functional neural co-activation in spatially distributed brain regions.Owing to lacking an effective approach to quantifying the covarying of structure...
关键词:alterations EVOKED spatially 
CL2ES-KDBC:A Novel Covariance Embedded Selection Based on Kernel Distributed Bayes Classifier for Detection of Cyber-Attacks in IoT Systems
《Computers, Materials & Continua》2024年第3期3511-3528,共18页Talal Albalawi P.Ganeshkumar 
The Internet of Things(IoT)is a growing technology that allows the sharing of data with other devices across wireless networks.Specifically,IoT systems are vulnerable to cyberattacks due to its opennes The proposed wo...
关键词:IoT security attack detection covariance linear learning embedding selection kernel distributed bayes classifier mongolian gazellas optimization 
Over-limit risk assessment method of integrated energy system considering source-load correlation
《Global Energy Interconnection》2023年第6期661-674,共14页Ying Wang Xiaojun Wang Yizhi Zhang Yigang Zhang Zekai Xu 
supported in part by the National Natural Science Foundation of China(No.51977005)。
In an integrated energy system,source-load multiple uncertainties and correlations lead to an over-limit risk in operating state,including voltage,temperature,and pressure over-limit.Therefore,efficient probabilistic ...
关键词:Probabilistic energy flow Polynomial chaos expansion CORRELATION Risk assessment Analysis of covariance 
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