报告名称：Sparse Representation In Reproducing Kernel Hilbert Spaces

主办单位：数学与统计学学院

报告专家：Qian Tao (钱涛)

专家所在单位：MacauUniversity of Science and Technology and Emeritus Professor at University of Macau

澳门科技大学、澳门大学

报告时间：2019年3月22日16:00-17:30

报告地点：数学与统计学学院201报告厅

专家简介：Tao Qian received the M.Sc. and Ph.D. degrees, both in harmonic analysis, from Peking University, Beijing,China, in 1981 and 1984, respectively. From 1984 to 1986, he worked in Institute of Systems Science, the Chinese Academy of Sciences. Then he worked as Research Associate and Research Fellow inAustraliatill 1992 (Macquarie University, Flinders University of South Australia), and as a faculty teaching member at New England University,Australia, from 1992 to 2000. He started working at University of Macau, Macao, China SAR, from 2000 as Associate Professor. He continued his job in University of Macau as Full Professorship in 2003, and was Head of Department of Mathematics from 2005 to 2011. He was appointed as Distinguished Professor at University of Macau in April, 2013. In 2019, he worked as Professor at Macau University of Science and Technology and Emeritus Professor at University of Macau. His research interests include harmonic analysis in Euclidean spaces, complex and Clifford analysis and signal and image analysis. He has published over 200 journal and conference papers and two monograph books.

报告摘要：Abstract: Under a mild condition satisfied by most reproducing kernel Hilbert spaces one can develop a sparse representation or approximation theory and algorithm. It can be used in many theoretical studies, such as integral and differential equations as well as in practice of signal and image analysis, and system identification.

邀请人：李落清

是否涉外：否