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Joint Beamforming Design for IRS Aided Multiuser MIMO with Imperfect CSI Journal article
Zeng, Piao, Qiao, Deli, Qian, Haifeng, Wu, Qingqing. Joint Beamforming Design for IRS Aided Multiuser MIMO with Imperfect CSI[J]. IEEE Transactions on Vehicular Technology, 2022, 71(10), 10729 - 10743.
Authors:  Zeng, Piao;  Qiao, Deli;  Qian, Haifeng;  Wu, Qingqing
Favorite | TC[WOS]:15 TC[Scopus]:22  IF:6.1/6.5 | Submit date：2022/08/05
Array Signal Processing  Mimo Communication  Optimization  Channel Estimation  Covariance Matrices  Finite Element Analysis  Estimation  Discrete Pss  Imperfect Csi  Intelligent Reflecting Surface (Irs)  Multi-antenna Multiuser (Mu) Mimo  Robust Beamforming  
Deep learning based channel covariance matrix estimation with scene images Conference paper
Weihua Xu, Feifei Gao, Jianhua Zhang, Xiaoming Tao, Ahmed Alkhateeb, Shaodan Ma. Deep learning based channel covariance matrix estimation with scene images[C], 2021, 162-166.
Authors:  Weihua Xu;  Feifei Gao;  Jianhua Zhang;  Xiaoming Tao;  Ahmed Alkhateeb; et al.
Favorite | TC[Scopus]:2 | Submit date：2021/12/08
Deep Learning  Covariance Estimation  Scene Image  Pilot Free  
Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling Conference paper
Li Dong, Jiantao Zhou, Tao Dai. Color Image Noise Covariance Estimation with Cross-Channel Image Noise Modeling[C], 2018.
Authors:  Li Dong;  Jiantao Zhou;  Tao Dai
Adobe PDF | Favorite | TC[WOS]:5 TC[Scopus]:10 | Submit date：2019/04/17
Noise Covariance Estimation  Weakly Textured Patch  Color Image Denoising  
Covariance matrix estimation with multi-regularization parameters based on MDL principle Journal article
Zhou X., Guo P., Chen C.L.P.. Covariance matrix estimation with multi-regularization parameters based on MDL principle[J]. Neural Processing Letters, 2013, 38(2), 227-238.
Authors:  Zhou X.;  Guo P.;  Chen C.L.P.
Favorite | TC[WOS]:5 TC[Scopus]:5 | Submit date：2019/02/11
Covariance Matrix Estimation  Gaussian Classifier  Minimum Description Length Principle  Multi-regularization Parameters Selection  
Multi-regularization parameters estimation for Gaussian mixture classifier based on MDL principle Conference paper
Zhou X., Guo P., Philip Chen C.L.. Multi-regularization parameters estimation for Gaussian mixture classifier based on MDL principle[C], 2011, 112-117.
Authors:  Zhou X.;  Guo P.;  Philip Chen C.L.
Favorite |  | Submit date：2019/02/11
Covariance matrix estimation  Gaussian classifier  Minimum description length  Multi-regularization parameters selection