Seminar by Prof. Zhou ZHOU from Department of Statistical Sciences, University of Toronto

Time-frequency analysis is a branch of signal processing aiming to analyze signals from both time and frequency perspectives simultaneously. In this presentation, I shall provide a non-stationary time series analysis perspective for noisy signals with complex oscillatory patterns so that statistical inferences can be carried out for a class of important problems in time-frequency analysis. Specific problems discussed include power spectra inference under complex temporal dynamics and frequency detection and change point estimation for noisy signals of complex oscillation.

Zhou Zhou is a professor of Statistics in the Department of Statistical Sciences at the University of Toronto. He obtained his Ph.D. in Statistics at the University of Chicago. His research interest includes Time Series Analysis and Non- and Semi-Parametric Estimation and Inference.