学术报告

题目：  Reconstruction of Sparse Signals via Weighted Norm Minimization Methods

报告人：谌稳固 研究员 （北京应用物理与计算数学研究所）

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.

时间：  9月29日（周二）15：00-16：00

方式：  腾讯会议； 会议ID：354 800 732

邀请人：张俊强 讲师