Robust Adaptive Beamforming with Optimal Covariance Matrix Estimation in the Presence of Gain-Phase Errors. [PDF]
Yao D, Zhang X, Hu B, Yang Q, Wu X.
europepmc +1 more source
Estimation of the signal subspace without estimation of the inverse covariance matrix [PDF]
Let a high-dimensional random vector X can be represented as a sum of two components - a signal S, which belongs to some low-dimensional subspace S, and a noise component N.
Vladimir Panov
core
Application of regularized covariance matrices in logistic regression and portfolio optimization
Covariance estimation has widespread applications in various fields such as logistic regression and portfolio optimization. However, in high-dimensional or small-sample scenarios, traditional covariance matrix estimation often encounters the problem of ...
Fang Sun, Xiaoqing Huang
doaj +1 more source
J. Schäfer, K. Strimmer
semanticscholar +1 more source
Weighted average ensemble for Cholesky-based covariance matrix estimation
The modified Cholesky decomposition (MCD) is an efficient technique for estimating a covariance matrix. However, it is known that the MCD technique often requires a pre-specified variable ordering in the estimation procedure.
Xiaoning Kang +3 more
doaj +1 more source
Channel Covariance Matrix Estimation via Dimension Reduction for Hybrid MIMO MmWave Communication Systems. [PDF]
Hu R, Tong J, Xi J, Guo Q, Yu Y.
europepmc +1 more source
Covariance Matrix Estimation for the Cryo-EM Heterogeneity Problem. [PDF]
Katsevich E, Katsevich A, Singer A.
europepmc +1 more source
Coded Aperture Optimization in X-Ray Computed Tomography via Sparse Covariance Matrix Estimation. [PDF]
Jiang Y +6 more
europepmc +1 more source
Research on AUV Underwater Localization Method Based on an n-Shaped Array. [PDF]
Han C, Gao M, Shen T, Guo C.
europepmc +1 more source
Research on the Control Algorithm for a Brushless DC Motor Based on an Adaptive Extended Kalman Filter. [PDF]
Jinwu T +5 more
europepmc +1 more source

