报告人：谌稳固教授

报告题目：Recovery of Signals and Images via  Convex and Non-convex Minimization

报告摘要： In this talk, we consider the recovery conditions for the exact recovery of signals with structures in the noiseless setting and stable recovery 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 suffiffifficient conditions.

报告时间： 2019年6月27日 16:00-17:00

报告地点： 金沙集团wwW3354CC三楼报告厅

报告人简介：谌稳固教授，北京应用物理与计算数学研究所研究员，博士生导师，主要从事调和分析、非线性色散方程、大数据分析的理论及应用研究，在Applied and Computational Harmonic Analysis，Signal Processing, Journal of Computational and Applied Mathematics，IEEE Signal Processing Letter, IEEE Access，Inverse Problems and Imaging，CPDE, JDE, Nonlinear Analysis: Real World Applications等学术刊物发表科研论文50余篇。