信息公告
应用数理学院学术报告(5月 24)
发布时间:2019-05-24 

报告题目:Ways to Extract Time-Varying Frequencies from Signals

报告时间:2019524(周五)16:00-17:00

报告地点:数理楼3503

  人:朱洪梅教授  加拿大约克大学

 

摘要:In many signal processing applications, it is often important to extract frequency information from a signal, particularly if the signal evolves in time. Traditional data analysis methods, such as the Fourier transform, represent a signal in frequency domain and are not effective when dealing with non-stationary signals.  Time-frequency analysis has been developed to overcome the limitations of the traditional techniques by representing a signal as a joint function of both time and frequency. Hence time-varying frequency information can be revealed. However, due to the Heisenberg's uncertainty principle, the resolution of a joint time-frequency representation may not be accurate enough to separate multiple frequency components well; this becomes more challenging when noise is present. In this talk, we overview the development of extract time-varying frequency information from a non-stationary signal and proposed a method that is accurate and automatic. Examples and applications will be discussed.

 

报告人简介:Dr. Hongmei Zhu is an Associate Professor at the Department of Mathematics and Statistics, York University. She holds a PhD in Applied Mathematics at the University of Waterloo in 2000. Upon graduation, she was awarded as a MS Society of Canada postdoctoral fellowship at the Seaman MR Centre at Foothills Hospital, University of Calgary between 2001 and 2004. Hongmei’s research interests are in the areas of time-frequency analysis, data science, numerical computations and their applications in real-world problems arisen from bio-medicine and other industries.

 

 

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