Bin Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 8

Top Topics

Mahalanobis Metric

Covariance Matrices

Gaussian Mixture

Information Criterion

Top Venues

Appl. Math. Comput.

EURASIP J. Adv. Signal Process.

Publications

Tianfeng Tang, Gang Qin, Bin Zhang, Jun Cheng, Jinde Cao
Event-based asynchronous state estimation for Markov jump memristive neural networks. Appl. Math. Comput. 473 (2024)
Shoucheng Yuan, Bin Zhang
An RMT-based generalized Bayesian information criterion for signal enumeration. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Bin Zhang, Hengzhen Huang, Jianbin Chen
Estimation of Large-Dimensional Covariance Matrices via Second-Order Stein-Type Regularization. Entropy 25 (1) (2023)
Bin Zhang, Jie Zhou, Jianbo Li
Improved Covariance Matrix Estimators by Multi-Penalty Regularization. FUSION (2019)
Bin Zhang, Jie Zhou, Jianbo Li
Improved Shrinkage Estimators of Covariance Matrices With Toeplitz-Structured Targets in Small Sample Scenarios. IEEE Access 7 (2019)
Jianbo Li, Jie Zhou, Bin Zhang
Improved Shrinkage-to-Tapering Estimation for High-Dimensional Covariance Matrices. FUSION (2018)
Jianbo Li, Jie Zhou, Bin Zhang
Estimation of Large Covariance Matrices by Shrinking to Structured Target in Normal and Non-Normal Distributions. IEEE Access 6 (2018)
Jianbo Li, Jie Zhou, Bin Zhang, X. Rong Li
Estimation of high dimensional covariance matrices by shrinkage algorithms. FUSION (2017)