一、题目：Reconstruction of High Dimensional Data via Weighted Norm Minimization Methods
二、主讲人：北京应用物理与计算数学研究所研究员 谌稳固
三、时间：2019年12月16日(周一)，上午10：00-11：00
四、地点：闻理园A4-305
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.
报告人简介：谌稳固，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、大数据分析理论及应用的研究，在Applied and Computational Harmonic Analysis，Signal Processing，Journal of Computational and Applied Mathematics，IEEE Signal Processing Letter， Inverse Problems and Imaging，JDE，Nonlinear Analysis: Real world Applicatinos 等学术刊物发表论文50余篇。
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