A New Variance-Covariance Matrix for Improving Positioning Accuracy in High-Speed GPS Receivers by Narjes Rahemi, Mohammad Reza Mosavi, Diego Martín

“…In this contribution, by considering the effect of spatial correlation between observations in estimating the covariances, we propose a model for determining the variance–covariance matrix (VCM) that improves the positioning accuracy without increasing the computational load. …”
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A Low SNR Signal-Sensing Method Based on a Multiple-Antenna Covariance Matrix by Yumin Zhong, Yanhua Li

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Gridless DOA estimation with finite rate of innovation reconstruction based on symmetric Toeplitz covariance matrix by Tao Chen, Lin Shi, Yongzhi Yu

“…Next, DOA can be retrieved from the recovered covariance matrix by utilizing an annihilating filter because each covariance data is a linear combination of complex exponentials. …”
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Impact of different estimations of the background-error covariance matrix on climate reconstructions based on data assimilation by V. Valler, V. Valler, J. Franke, J. Franke, S. Brönnimann, S. Brönnimann

“…In ensemble-based approaches, the background-error covariance matrix can be estimated from the ensemble. Due to the usually limited ensemble size, the background-error covariance matrix is subject to the so-called sampling error. …”
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Estimating Quantum Mutual Information of Continuous-Variable Quantum States by Measuring Purity and Covariance Matrix by Jiyong Park

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Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources by Jian Yang, Jian Lu, Xinxin Liu, Guisheng Liao

Subjects: “…covariance matrix reconstruction…”
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Minimum variance beamforming combined with covariance matrix-based adaptive weighting for medical ultrasound imaging by Yuanguo Wang, Yadan Wang, Mingzhou Liu, Zhengfeng Lan, Chichao Zheng, Hu Peng

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A novel variational Bayesian adaptive Kalman filter with mismatched process noise covariance matrix by Xinrui Liu, Hong Xu, Daikun Zheng, Yinghui Quan

“…Abstract This paper proposes a novel variational Bayesian (VB) adaptive Kalman filter with mismatched process noise covariance matrix (PNCM). Firstly, this paper explains the reason why the predicted error covariance matrix (PECM) is chosen for variational inference. …”
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Effect of the covariance matrix type on the CPT based soil stratification utilizing the Gaussian mixture model by Thajeel Jawad K., Adel Raghad, Ali Haneen Muhammed, Shakir Ressol R.

“…Moreover, the type of assumed covariance matrix may affect the soil profile.…”
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Shrinkage estimation of covariance matrix in hotelling’s T2 for differentially expressed gene sets / Suryaefiza Karjanto by Karjanto, Suryaefiza

“…The Hotelling’s T2 statistic was combined with the shrinkage approach as an alternative estimation to estimate the covariance matrix in detect significant gene sets. The proposed shrinkage estimation approach is about taking a weighted average of the sample covariance matrix and a structured matrix or shrinkage target as shrinkage of the sample covariance matrix towards a target matrix of the same dimensions while the shrinkage intensity is the weight that the shrinkage target receives. …”
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Space-time adaptive detection for bistatic MIMO system under covariance matrix persymmetry and symmetric spectrum by Sheng Yan, Chengpeng Hao, Da Xu, Bo Shi

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2D-DOA Estimation in Arc-Array With a DNN Based Covariance Matrix Completion Strategy by Ye Tian, Ruru Mei, Yonghui Huang, Xiaogang Tang, Tianshu Cui

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2D-DOA Estimation in Switching UCA Using Deep Learning-Based Covariance Matrix Completion by Ruru Mei, Ye Tian, Yonghui Huang, Zhugang Wang

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Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix by Zhang Jingjing, Hong Wen, Yin Qiang

Subjects: “…Spherically truncated covariance matrix…”
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High-Quality Coherent Plane-Wave Compounding Using Enhanced Covariance-Matrix-Based Statistical Beamforming by Yuanguo Wang, Chichao Zheng, Hu Peng, Yadan Wang

“…Coherent plane-wave compounding (CPWC) enables high-frame-rate ultrasound imaging, but the imaging quality is mainly determined by the beamforming method. Covariance-matrix-based statistical beamforming (CMSB) was previously proposed for synthetic aperture ultrasound imaging, which provides notable improvements in resolution and contrast over conventional delay-and-sum (DAS). …”
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APPLICATION OF RESTART COVARIANCE MATRIX ADAPTATION EVOLUTION STRATEGY (RCMA-ES) TO GENERATION EXPANSION PLANNING PROBLEM by K. Karthikeyan, S. Kannan, S. Baskar, C. Thangaraj

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Robust STAP Against Unknown Mutual Coupling Based on Middle Subarray Clutter Covariance Matrix Reconstruction by Zhihui Li, Yongshun Zhang, Weijian Liu, Yiduo Guo, Hanwei Liu

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Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing by Guanping Lu, Jinsong Wu, Robert C. Qiu, Hong Ling

“…We prove that the empirical spectral distribution of the large dimension sample covariance matrix and a well-studied spiked central Wishart matrix converge to the same distribution. …”
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Improved Large Covariance Matrix Estimation Based on Efficient Convex Combination and Its Application in Portfolio Optimization by Yan Zhang, Jiyuan Tao, Zhixiang Yin, Guoqiang Wang

Subjects: “…covariance matrix estimation…”
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Task Scheduling Algorithm Using Covariance Matrix Adaptation Evolution Strategy (CMA-ES) in Cloud Computing by Ghazaal Emadi, Amir Masoud Rahmani, Hamed Shahhoseini

“…<br />Keywords: Cloud Computing, Task Scheduling, Virtual Machines (VMs), Covariance Matrix Adaptation Evolution Strategy (CMA-ES)…”
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