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Priberam Machine Learning Lunch Seminar: Resonance-based Signal Analysis

Priberam Machine Learning Lunch Seminar: Resonance-based Signal Analysis
Speaker: Ivan Selesnick (Polytechnic Institute of New York University, USA)
Venue: IST Alameda, Sala PA2 (Edifício de Pós-Graduação)
Date: Tuesday, January 18 th , 2011
Time: 13:00

Lunch will be provided

Numerous signals arising from physiological and physical processes are not only non-stationary but also posses a mixture of sustained oscillations and non-oscillatory transients that are difficult to disentangle by linear methods. Examples of such signals include speech, biomedical and geophysical signals. This talk describes the decomposition of such signals into ‘resonance’ components: A high-resonance signal is one in which oscillations are sustained; while a low-resonance signal is one comprised mostly of non-oscillatory transients of unspecified shape and duration. While frequency components are straightforwardly defined and can be obtained by linear filtering, resonance components are more difficult to define and procedures to obtain resonance components are necessarily nonlinear. The decomposition algorithm presented in this talk utilizes recent developments in signal processing, including sparse signal representations using SALSA and constant-Q (wavelet) transforms with tunable Q-factors.

I received the BS, MEE, and PhD degrees in Electrical Engineering in 1990, 1991, and 1996 from Rice University, Houston, TX. I joined Polytechnic University in 1997, where I am currently an Associate Professor of Electrical and Computer Engineering. In 1997, I was a visiting professor at the University of Erlangen-Nurnberg, Germany. I received an Alexander von Humboldt Fellowship in 1997, and a National Science Foundation Career award in 1999. In 2003 I received the Jacobs Excellence in Education Award from Polytechnic University. As a PhD student I received a DARPA-NDSEG fellowship in 1991. My PhD dissertation received the Budd Award for Best Engineering Thesis at Rice University in 1996 and an award from the Rice-TMC chapter of Sigma Xi. I have been an associate editor of the IEEE Transactions on Image Processing (2002-2007) and of IEEE Signal Processing Letters (2007-2009). I am currently an associate editor of IEEE Transactions on Signal Processing (2009-2011) and an area editor for the same journal (2010-2011). I have also been a member of the IEEE Signal Processing Theory and Methods Technical Committee.