Lecture Announcement

Organizer: IEEE Toronto Section, Instrumentation & Measurement Society
Title: Time-Frequency Analysis: a "Better" Fourier Analysis
(Application to Knee-Joint Sound Signal Analysis)
Speaker:
Dr. Sridhar (Sri) Krishnan, Ph.D.
Assistant Professor,
Department of Electrical & Computer Engineering
Ryerson Polytechnic University
Place:
Ryerson Polytechnic University
East Kerr Hall, Room QE-313
40 Gould Street, Toronto
Date:
Thursday, March 22nd, 2001, at 6:30 p.m.
Refreshments at 6:00 p.m.
Summary:
A signal can be considered to be stationary if its statistical characteristics do not change with time. However, most real world signals are non-stationary and have highly complex time-varying characteristics. Common signal analysis techniques such as Fourier transform and autoregressive modeling can be applied to a non-stationary signal by segmenting the signal into quasi-stationary components. There are several drawbacks with the segmentation-based techniques, and these problems could be obviated by using nonstationary signal analysis tools such as quadratic time-frequency distributions (TFD's). TFD's provide a 2D representation of the time-varying energy information in the signal, and are suitable for tracking the non-stationary behavior of signals.
The monitoring of frequency/energy variation with time is of immense use in a variety of signal analysis applications such as RADAR, biomedical, and geophysics. The applications of the methods in the context of knee joint sound signal analysis for screening of arthritis will also be discussed.
Biography: Dr. Sridhar (Sri) Krishnan received his M.Sc. and Ph.D. degrees from the Department of Electrical and Computer Engineering at the University of Calgary in 1996 and 1999 respectively. His research interests include adaptive signal processing, multimedia communications, and biomedical signal/image analysis. His major research sponsors are NSERC, Micronet, and Ryerson Polytechnic University. He was awarded a full-time studentship award from the Alberta Heritage Foundation for Medical Research during his graduate studies at the University of Calgary.
Contact:
Dennis Cecic, P. Eng. Digital Security Controls Ltd.,
Ph. (905)760-3000, Ext. 2375,
Fax (905)760-3020
E-mail: d.cecic@ieee.ca

Florin Gagiu, M. Sc., Digital Security Controls Ltd.,
Ph. (905)760-3000, Ext. 2244,
Fax (905)760-3020
E-mail: gagiuf@dscltd.com
Note: All are welcome. IEEE membership not required for attendance.

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