Adaptive Synchrosqueezing Transform for Instantaneous Frequency Estimation and Signal Separation

Time: 2018-12-18 23:02:04

Topic：Adaptive Synchrosqueezing Transform for Instantaneous Frequency Estimation and Signal Separation

Speaker：Professor Qingtang Jiang    University of Missouri-St. Louis

Time：2018-12-17 11:30--12:30

Location：Room 401 in School of Mathematical Sciences

Introduction：

         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 speci cally, 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.