Resonance-based Signal Analysis for Speech, Biomedical, and Geophysical Applications
Sponsored by Control System and by Aerospace & Electronics Systems Societies
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: High-resonance signals comprise sustained oscillations, while low-resonance signals comprise non-oscillatory transients of unspecified shape and duration. While frequency components are straightforwardly defined by linear filtering and Fourier transforms, resonance components are more difficult to define. Procedures to obtain resonance components are necessarily nonlinear. The resonance decomposition algorithm presented in this talk utilizes sparse signal representations and constant-Q (wavelet) transforms with tunable Q-factors.
There will be a get-together with a buffet starting at 4:30 pm.
For more information, please contact David Haessig (david.haessig@baesystems.com)
Date and Time
Location
Hosts
Registration
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- 161 Warren Street
- Newark, New Jersey
- United States 07102
- Building: New Jersey Institute of Technology - ECE Building
- Room Number: ECE-202
- Click here for Map
- Contact Event Host
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David Haessig, IEEE North Jersey Executive Committee, E-mail: david.haessig@baesystems.com
- Co-sponsored by CS23 & AES
- Starts 12 August 2018 08:00 AM UTC
- Ends 14 October 2018 04:00 AM UTC
- No Admission Charge
Speakers
Ivan Selesnick of Department of Electrical and Computer Engineering
Biography:
Ivan Selesnick received the BS and PhD degrees in Electrical Engineering in 1990 and 1996 from Rice University. He is Professor and Department Chair of the Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University. His current research interests are in the area of digital signal and image processing, wavelet-based signal processing, sparsity techniques, and biomedical signal processing. He is an associate editor for the IEEE Transactions on Computational Imaging.
Email:
Address:Tandon School of Engineering, New York University, Brooklyn, NY , New York, United States, 11201
Agenda
| 04:30 pm - 05:00 pm | Get together and pizza buffet |
| 05:00 pm - 06:00 pm | Technical Talk |
Directions: http://www.njit.edu/about/visit/gettingtonjit.php
Free Parking is available at 154 Summit Street, Newark, NJ 07102.