Lecturer:

Qingtang Jiang

Time:

2019-06-11 09:00:00

Venue:

Ⅲ-201in the Building of North Campus

Lecturer Profile

Qingtang Jiang received the B.S. and M.S. degrees from Hangzhou University (now is Zhejiang University), Hangzhou, China, in 1986 and 1989, respectively, and the Ph.D. degree from Peking University, Beijing, China, in 1992, all in mathematics.

He was with Peking University from 1992 to 1995. He was an NSTB postdoctoral fellow and then a research fellow at the National University of Singapore from 1995 to 1999. Before he joined the University of Missouri-St. Louis, in 2002, he held visiting positions at University of Alberta, Canada, and West Virginia University, USA. He is now a Professor in the Department of Math and Computer Sci., University of Missouri-St. Louis. His current research interests include signal classification, image processing, surface subdivision and signal sparse representation. He is the editorial board member of the journal Applied and Computational Harmonic Analysis from 2005 and the awardee of The Air Force 2011, 2015 Visiting Faculty Research Program.

Lecture Abstract

Recently the synchrosqueezing transform (SST) has been developed for signal separation and a sharp time-frequency representation of a non-stationary signal by assigning the scale variable of the signal's continuous wavelet transform to the frequency variable by a phase transformation. In this talk we will discuss the adaptive SST with a time-varying parameter for instantaneous frequency estimation and signal separation. We will address the separation condition for a multicomponent non-stationary signal with the adaptive SST and discuss the selection of the time-varying parameter. In this talk we will discuss the analysis of the adaptive SST. More specifically, we will provide the error of instantaneous frequency estimation and the error of component recovery of a multicomponent non-stationary signal with the adaptive SST.