信号部分支撑集先验下的加权Lp(0<p<=1)正则化重构理论及应用

11901476
2019
A0602.信息技术与不确定性的数学理论与方法
王文东
青年科学基金项目
副教授
西南大学
23万元
压缩传感;稀疏信息处理;加权正则化;部分支撑集先验;重构理论及应用
2020-01-01到2022-12-31
  • 中英文摘要
  • 结题摘要
  • 结题报告
  • 项目成果
  • 项目参与人
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重置
序号 标题 类型 作者
1 Perturbation analysis of 1‒2 method for robust sparse recovery 期刊论文 Wang Wendong
2 Performance guarantees of regularized L1-2-minimization for robust sparse recovery 期刊论文 Wang Wendong;Zhang Jing
3 Low-rank matrix recovery via regularized nuclear norm minimization 期刊论文 Wang Wendong;Zhang Feng;Wang Jianjun
4 Robust recovery of signals with partially known support information using weighted BPDN 期刊论文 Wang Wendong;Wang Jianjun
5 RIP-based performance guarantee for low-tubal-rank tensor recovery 期刊论文 Zhang Feng;Wang Wendong;Huang Jianwen;Wang Jianjun;Wang Yao
6 Performance guarantees of transformed Schatten-1 regularization for exact low-rank matrix recovery 期刊论文 Wang Zhi;Hu Dong;Luo Xiaohu;Wang Wendong;Wang Jianjun;Chen Wu
7 Uniqueness guarantee of solutions of tensor tubal-rank minimization problem 期刊论文 Zhang Feng;Hou Jingyao;Wang Jianjun;Wang Wendong
8 Tensor restricted isometry property analysis for a large class of random measurement ensembles 期刊论文 Zhang Feng;Wang Wendong;Hou Jingyao;Wang Jianjun;Huang Jianwen
9 Robust signal recovery for l (1-2) minimization via prior support information 期刊论文 Zhang Jing;Zhang Shuguang;Wang Wendong
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