10 citations · 33 across the 7 of their papers we have counts for
7 papers
Performance Optimization and Parameters Estimation for MIMO-OFDM Dual-functional Communication-radar Systems
Chen Zhong, Chunrong Gu, Lan Tang +2
In dual-functional communication-radar systems, common radio frequency (RF) signals are used for both communication and detection. For better compatibility with existing communicat…
Group Sparsity Residual with Non-Local Samples for Image Denoising
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +3
Inspired by group-based sparse coding, recently proposed group sparsity residual (GSR) scheme has demonstrated superior performance in image processing. However, one challenge in G…
Group Sparsity Residual Constraint for Image Denoising
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +2
Group-based sparse representation has shown great potential in image denoising. However, most existing methods only consider the nonlocal self-similarity (NSS) prior of noisy input…
Analyzing the Weighted Nuclear Norm Minimization and Nuclear Norm Minimization based on Group Sparse Representation
Zhiyuan Zha, Xin Yuan, Bei Li +4
Rank minimization methods have attracted considerable interest in various areas, such as computer vision and machine learning. The most representative work is nuclear norm minimiza…
Image denoising using group sparsity residual and external nonlocal self-similarity prior
Zhiyuan Zha, Xinggan Zhang, Qiong Wang +2
Nonlocal image representation has been successfully used in many image-related inverse problems including denoising, deblurring and deblocking. However, a majority of reconstructio…
Image denoising via group sparsity residual constraint
Zhiyuan Zha, Xin Liu, Ziheng Zhou +7
Group sparsity has shown great potential in various low-level vision tasks (e.g, image denoising, deblurring and inpainting). In this paper, we propose a new prior model for image…
Efficient Sensor Fault Detection Using Group Testing
Chun Lo, Yechao Bai, Mingyan Liu +1
When faulty sensors are rare in a network, diagnosing sensors individually is inefficient. This study introduces a novel use of concepts from group testing and Kalman filtering in…