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Statistical Machine Learning Seminar
Hosted by Department of Mathematical Sciences

  • Date: Tuesday, March 22, 2016
  • Time: 12:00-1:00
  • Room: WH-100E
  • Speaker: Grace Wang (Syracuse University)
  • Title: ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform


Time-frequency representations provide a powerful tool for the analysis of time series signals. Techniques that decompose the time-dependent signals into multiple oscillatory components, with time-varying amplitudes and instantaneous frequencies are very appealing and have been shown to be useful in a wide range of applications including geophysics, biology, medicine, finance and social dynamics. In this talk, I’ll give an introduction to time-frequency representations and review existing methods for the previously described decomposition. Then I’ll present a new method that applies the multitapering with synchrosqueezed transform. Numerical experiments as well as a theoretical analysis will be demonstrated to assess its effectiveness.

seminars/sml/160322.txt · Last modified: 2016/02/28 21:26 by qiao