【電機系書報討論演講訊息】

書報討論網頁：http://www.ee.nthu.edu.tw/~ee591000/

演講公告網址：/p/403-1175-2629-1.php

題   目：Assessment of nonlinear interaction between nonstationary signals

講   員：羅孟宗 教授

         (Associate Research Scientist, Research Center for Adaptive Data Analysis, National Central University )

時  間：2013年10月25日(星期五) 下午2時20分 (2時10分入場)

地       點：資電館B01演講廳

abstract：

Many physical and physiological systems possess multiple feedback interactions among system components or control nodes. The relationship among output signals of these systems can provide insights into underlying control mechanisms of these interactions. Traditional approaches to quantify phase relationship are based on Fourier transform, which assumes stationary signals consisting of sinusoidal waveforms. However, due to nonlinear coupling among multiple interactions, signals of complex systems are typically nonstationary (statistical properties such as mean and standard deviation vary with time). Thus, Fourier-based approaches are believed to be unreliable for the analysis of nonstationary signals.

To resolve the difficulties related to nonstationarity, Hilbert Huang transform (HHT) that is based on nonlinear chaotic theories, has been designed to extract dynamic information from nonstationary signals at different time scales. In the last 10 years, the HHT has been utilized in more than 8000 published works (Goggle Scholar) and has been applied in a various of research fields such as climate research, orbit research, structural health monitoring, water wave analysis, blood pressure hemodynamics. Recently, the HHT has been applied to quantify nonlinear interaction between nonstationary signals. In this talk, I would like to introduce the new results in the study of cerebral autoregulation, cardiac and respiratory dynamics and electroencephalographic activity.

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