蒋庆堂教授受邀进行讲座
发布时间: 2018-12-18 19:27:57
题 目：Adaptive Synchrosqueezing Transform for Instantaneous Frequency Estimation and Signal Separation
报告人：蒋庆堂教授 University of Missouri-St. Louis
时 间：2018-12-17 11:30--12:30
地 点：学院401
报告人简介:
蒋庆堂教授是国际著名小波分析的专家，博士毕业于北京大学，1997年与北京大学的彭立中教授合作开展小波分析的研究，现在美国University of Missouri-St. Louis的数学与计算机系任教，在国内外发表众多学术著作，并担任多本数学国际期刊的编辑。
摘 要：
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.
