学术报告
您现在的位置: 首页 > 科学研究 > 学术报告 > 正文

20230902 陈汉夫 Sparsity and its Applications in Imaging

发布时间:2023-09-01 16:22    浏览次数:    来源:

报告题目:Sparsity and its Applications in Imaging

报告人:CHAN Hon Fu Raymond (陈汉夫)教授(香港城市大学)

邀请人:白敏茹

时间:2023年9月2日9:30-10:30

地点:数学学院425

报告摘要:With the advances in sensor technology, data has become ubiquitous. To make sense of data we have to solve higher and higher dimensional problems that may seem intractable. However, many high-dimensional problems have solutions that live in low-dimensional spaces. Sparsity is a way to exploit the low-dimensional structure of the solutions to obtain feasible solutions for high-dimensional problems. In this talk, we will see how sparsity can be applied to facilitate the solutions of  imaging problems, including magnetic resonance imaging, single-molecule localisation microscopy, and ground-based astronomy.


湖南大学版权所有©2017年    通讯地址:湖南省长沙市岳麓区麓山南路麓山门     邮编:410082     Email:xiaoban@hnu.edu.cn
域名备案信息:[www.praiseyoga.com,www.hnu.cn/湘ICP备05000239号]      [hnu.cn 湘教QS3-200503-000481 hnu.edu.cn  湘教QS4-201312-010059]

Baidu
map