11 citations · 25 across the 16 of their papers we have counts for
20 papers
Expectation-Maximization-Aided Hybrid Generalized Expectation Consistent for Sparse Signal Reconstruction
Qiuyun Zou, Haochuan Zhang, Hongwen Yang
The reconstruction of sparse signal is an active area of research. Different from a typical i.i.d. assumption, this paper considers a non-independent prior of group structure. For…
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
Yitong Liu, Ken Deng, Chang Sun +1
Sparse-view computed tomography (CT) is known as a widely used approach to reduce radiation dose while accelerating imaging through lowered projection views and correlated calculat…
Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information
Ken Deng, Chang Sun, Yitong Liu +1
Low-dose Computed Tomography is a common issue in reality. Current reduction, sparse sampling and limited-view scanning can all cause it. Between them, limited-view CT is general i…
Physical Layer Security Over Mixture Gamma Distributed Fading Channels With Discrete Inputs: A Unified and General Analytical Framework
Chongjun Ouyang, Sheng Wu, Chunxiao Jiang +2
Physical layer security is investigated over mixture Gamma (MG) distributed fading channels with discrete inputs. By the Gaussian quadrature rules, closed-form expressions are deri…
Estimation for High-Dimensional Multi-Layer Generalized Linear Model -- Part II: The ML-GAMP Estimator
Qiuyun Zou, Haochuan Zhang, Hongwen Yang
This is Part II of a two-part work on the estimation for a multi-layer generalized linear model (ML-GLM) in large system limits. In Part I, we had analyzed the asymptotic performan…
Estimation for High-Dimensional Multi-Layer Generalized Linear Model -- Part I: The Exact MMSE Estimator
Haochuan Zhang, Qiuyun Zou, Hongwen Yang
This two-part work considers the minimum means square error (MMSE) estimation problem for a high dimensional multi-layer generalized linear model (ML-GLM), which resembles a feed-f…