Reconstruction of Sparse Signals via Weighted Norm Minimization Methods
报告题目(Title)：Reconstruction of Sparse Signals via Weighted Norm Minimization Methods
报告人(Speaker)：谌稳固 研究员 (北京应用物理与计算数学研究所)
地点(Place)：腾讯会议 726 539 520
时间(Time)：2020年6月12日 16:00-17:00
邀请人(Inviter)：杨大春
报告摘要
In this talk, we consider the reconstruction conditions for the exact reconstruction of data with structures in the noiseless setting and approximation in the noisy case from incomplete information. The structure includes sparsity, the context when some prior information on the support of the signals is available. Moreover, we consider the optimality or sharpness of these sufficient conditions.
