In this paper, we consider the recovery of group sparse signals corrupted by impulsive
noise. In some recent literature, researchers have utilized stable data fitting models, like l 1 …

This work gains a sharp sufficient condition on the block restricted isometry property for the
recovery of sparse signal and corresponding upper bound estimate of error. Under the …

摘摇要: 针对分块压缩感知算法在平滑块效应时损失了大量的细节纹理信息,
从而影响图像的重构效果问题, 提出了一种基于块稀疏信号的压缩感知重构算法 …

A variational Bayesian blind restoration reconstruction based on shear wave transform for
low-dose medical computed tomography (CT) image is proposed. The proposed algorithm …

In this paper, by exploiting orthogonal projection matrix and block Schur complement, we
extend the study to a complete perturbation model. Based on the block-restricted isometry …

Recently, deep learning methods have made a remarkable improvement in compressed
sensing image recovery stage. In the compressed measurement stage, the existing methods …

Parameter estimation using phased‐multiple‐input multiple‐output (MIMO) radar is
investigated in this study, where transmitting antennas are partitioned into subarrays to …

In this paper, the block orthogonal matching pursuit (BOMP) algorithm has been presented
when the measurement matrix is perturbed. The simulation results show that when the …

Here, the authors discuss the recovery of signals from under‐sampled data in which signals
are nearly block sparse via a truncated method with redundant dictionaries. The authors …