• 演讲人： 杨建斌
• 时间：2019年04月26日 周五下午4:00
• 地点：紫金港校区行政楼1417
• 主办单位：浙江大学数据科学研究中心

In real world applications many signals contain singularities, like edges in images. Recent wavelet frame based approaches were successfully applied to reconstruct scattered data from such functions while preserving these features. In this talk we present a recent approach which determines the approximant from shift invariant subspaces by minimizing an L1-regularized least squares problem which makes additional use of the wavelet frame transform in order to preserve sharp edges. Moreover, we present some numerical examples, for instance how to apply this approach to handle coarse-grained models in molecular dynamics.

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联系人: 林俊宏老师 junhong@zju.edu.cn

            浙江大学数据科学研究中心

报告人简介：

      杨建斌，河海大学理学院副教授。目前研究方向：小波分析及应用，图像和曲面处理，计算生物等。在Journal of Computational Physics, Applied and Computational Harmonic Analysis, Journal of Approximation Theory 等期刊发表多篇学术论文，主持国家基金青年项目，面上项目等。