activity
20102024
most citedA Correlation Analysis Method for Power Systems Based on Random Matrix Theory

82 citations · 620 across the 68 of their papers we have counts for

collaborators
Showing cs.ITShow all

18 papers · 1 filter

cs.IT2023

Codebook Configuration for RIS-aided Systems via Implicit Neural Representations

Huiying Yang, Rujing Xiong, Yao Xiao +4

Reconfigurable Intelligent Surface (RIS) is envisioned to be an enabling technique in 6G wireless communications. By configuring the reflection beamforming codebook, RIS focuses si…

cs.IT2023

Fundamental Limits of Distributed Linearly Separable Computation under Cyclic Assignment

Wenbo Huang, Kai Wan, Hua Sun +3

This paper studies the master-worker distributed linearly separable computation problem, where the considered computation task, referred to as linearly separable function, is a typ…

cs.IT2019★ 2 cited

Analysis on the Empirical Spectral Distribution of Large Sample Covariance Matrix and Applications for Large Antenna Array Processing

Guanping Lu, Jinsong Wu, Robert C. Qiu

This paper addresses the asymptotic behavior of a particular type of information-plus-noise-type matrices, where the column and row number of the matrices are large and of the same…

cs.IT2017★ 1 cited

Nonconvex Regularization Based Sparse Recovery and Demixing with Application to Color Image Inpainting

Fei Wen, Lasith Adhikari, Ling Pei +3

This work addresses the recovery and demixing problem of signals that are sparse in some general dictionary. Involved applications include source separation, image inpainting, supe…

cs.IT2016★ 2 cited

MIMO UWB Radar System with Compressive Sensing

Xia Li, Zhen Hu, Robert C. Qiu

A multiple input multiple output ultra-wideband cognitive radar based on compressive sensing is presented in this letter. For traditional UWB radar, high sampling rate analog to di…

cs.IT2016

Positive Definite Estimation of Large Covariance Matrix Using Generalized Nonconvex Penalties

Fei Wen, Yuan Yang, Peilin Liu +1

This work addresses the issue of large covariance matrix estimation in high-dimensional statistical analysis. Recently, improved iterative algorithms with positive-definite guarant…