Institute of Information Science, Academia Sinica

Recently, sparsity and compressed sensing have attracted a great deal of attentions in many different fields including sampling theory, applied harmonic analysis, approximation theory, optimization theory, and statistics etc. An important problem in compressed sensing is to construct the sensing matrix $A$. Although using random matrices is proven very successful in both theory and applications, a deterministic construction is still very important and interesting. In fact, it is a open problem proposed by Terry Tao. In this talk, I will report a new construction method. Some related work in the literature will also be reviewed.

Qun Mo (Prof. 莫群, 浙江大學數學系) was born in 1971 in China. He has obtained a B.Sc. degree in 1994 from Tsinghua University, a M.Sc. degree in 1997 from Chinese Academy of Sciences and a Ph.D. degree in 2003 from University of Alberta in Canada. He is current an associate professor in mathematics in Zhejiang University. His research interests include compressed sensing, wavelets and their applications.