A Full Loading-Based MVDR Beamforming Method by Backward Correction of the Steering Vector and Reconstruction of the Covariance Matrix by Jing Zhou, Changchun Bao

“…Different from the conventional diagonal loading methods, the proposed method combines the backward correction of the steering vector of the target source and the reconstruction of the covariance matrix. Firstly, based on the linear combination, an appropriate full loading matrix was constructed to correct the steering vector of the target source backward. …”
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2D-DOA and Polarization Estimation Using a Novel Sparse Representation of Covariance Matrix With COLD Array by Weijian Si, Yan Wang, Chunjie Zhang

“…Considering the characteristics of polarization sensors, a polarized sparse representation model of covariance matrix is constructed, whose overcomplete dictionary and sparse coefficient matrix only depend on DOA and polarization parameters, respectively. …”
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SINR improvement based on joint design of transmit covariance matrix and receive filter design for colocated MIMO radar by Sadjad Imani, Mohammad Mahdi Feraidooni, Davood Gharavian, Mohammad Mahdi Nayebi

“…In the second form, the covariance matrix is calculated by combining orthogonal waveforms, which yields better performance for interfere reduction. …”
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Characterization of the Observational Covariance Matrix of Hyper-Spectral Infrared Satellite Sensors Directly from Measured Earth Views by Carmine Serio, Guido Masiello, Pietro Mastro, David C. Tobin

“…The observational covariance matrix, whose diagonal square root is currently named radiometric noise, is one of the most important elements to characterize a given instrument. …”
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Enhancing Graph Routing Algorithm of Industrial Wireless Sensor Networks Using the Covariance-Matrix Adaptation Evolution Strategy by Nouf Alharbi, Lewis Mackenzie, Dimitrios Pezaros

“…To address this problem, we adopt a Covariance-Matrix Adaptation Evolution Strategy (CMA-ES) to create and select the graph paths. …”
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Estimation of the error covariance matrix for IASI radiances and its impact on the assimilation of ozone in a chemistry transport model by M. El Aabaribaoune, E. Emili, V. Guidard

“…</p> <p>The results show significant differences between using the estimated error covariance matrix with respect to the empirical diagonal matrix employed in previous studies. …”
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Robust adaptive beamforming based on covariance matrix reconstruction using Gauss–Legendre quadrature and steering vector estimation by Yan Lv, Fei Cao, Fan Wu, Chuan He, Xiaowei Feng

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Clutter Covariance Matrix Estimation for Radar Adaptive Detection Based on a Complex-Valued Convolutional Neural Network by Naixin Kang, Zheran Shang, Weijian Liu, Xiaotao Huang

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Robust Adaptive Beamforming with Sensor Position Errors Using Weighted Subspace Fitting-Based Covariance Matrix Reconstruction by Peng Chen, Yixin Yang, Yong Wang, Yuanliang Ma

Subjects: “…covariance matrix reconstruction…”
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An analytic method of propagating a covariance matrix to a maneuver condition for linear covariance analysis during redezvous by Gossner, Jesse Ross

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An extended McKean–Vlasov dynamic programming approach to robust equilibrium controls under ambiguous covariance matrix by Lei, Qian, Pun, Chi Seng

“…This paper studies a general class of time-inconsistent stochastic control problems under ambiguous covariance matrix. The time inconsistency is caused in various ways by a general objective functional and thus the associated control problem does not admit Bellman’s principle of optimality. …”
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A resampling method for estimating the covariance matrix in semiparametric accelerated failure time model with interval censored data by Karimi, Mostafa, Ibrahim, Noor Akma, Abu Bakar, Mohd. Rizam, Arasan, Jayanthi

“…Estimating the covariance matrix of the rank estimators in the accelerated failure time model is complicated in the presence of interval censored data. …”
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Theoretical and experimental investigation of estimating change point in multivariate processes via simultaneous covariance matrix and mean vector by Firouzi, Alireza, Mohd. Yusof, Noordin, Lee, Muhammad Hisyam, Bashiri, Robabeh

“…Therefore, we proposed a combination of an ensemble learning-based model of artificial neural networks with support vector machines to monitor process mean vector and covariance matrix shifts simultaneously to estimate the change point in a multivariable system. …”
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Improved covariance matrix evolution strategy algorithm for stochastic dynamic unequal area facility layouts in an open area by Ali, Derakhshanasl

“…The results showed that the proposed covariance matrix adaptation evolution strategy has found better solutions in contrast to the proposed particle swarm optimization and genetic algorithm.…”
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A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar by Tianfu Zhang, Zhihao Wang, Ning Qiao, Shuangxi Zhang, Mengdao Xing, Yongliang Wang

Subjects: “…Covariance matrix estimation…”
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Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine by Yupeng Li, Dong Zhao, Guangjie Liu, Yi Liu, Yasmeen Bano, Alisherjon Ibrohimov, Huiling Chen, Chengwen Wu, Xumin Chen

“…In the study, the orthogonal learning mechanism is applied to the first half of the WOA to improve the search speed and accuracy. The covariance matrix is applied to the second half of the WOA to enhance the ability to get out of local optimum and convergence accuracy. …”
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Spatial&#x2013;Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization by Emanuele Torti, Elisa Marenzi, Giovanni Danese, Antonio J. Plaza, Francesco Leporati

Subjects: “…Covariance matrix (CM)…”
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A New Statistical Method for Determining the Clutter Covariance Matrix in Spatial–Temporal Adaptive Processing of a Radar Signal by Adam Kawalec, Anna Ślesicka, Błażej Ślesicki

“…In this article, a new statistical method for estimating the clutter covariance matrix in space–time adaptive radar signal processing (STAP) is presented and studied. …”
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Covariance matrix reconstruction and steering vector estimation for robust adaptive transmit/receive beamforming in full phased‐MIMO radar by J. Lu, J. Yang, B. Hou, F. Zhu, G. Liu

“…In this letter, a full phased‐MIMO (FPMIMO) radar with equally overlapped subarrays is introduced, and a robust adaptive transmit/receive beamforming algorithm is proposed based on the virtual interference‐plus‐noise covariance matrix (INCM) reconstruction and the virtual steering vector estimation. …”
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The Requirement of a Positive Definite Covariance Matrix of Security Returns for Mean-Variance Portfolio Analysis: A Pedagogic Illustration by Clarence C. Y. Kwan

Subjects: “…Positive Definite Covariance Matrix…”
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