|
by Dr. Hao Chen Syracuse University When: Tuesday, March 18, 2008 Time: 1:30 p.m. – 2:30 p.m. Location: A265 Bourns Hall
Abstract: Stochastic resonance (SR) is a phenomenon in which the performance of some nonlinear systems can be enhanced by adding suitable noise under certain conditions. This counter-intuitive phenomenon has been observed in many fields such as Physics, Biology, and Neuroscience. The basic idea of performance enhancement by adding noise has been practiced in signal processing for some time, e.g., dithering in digital audio systems. From the engineering point of view, the SR based approaches have some very appealing advantages in that existing systems can be improved by changing the inputs either randomly or deterministically without the need for system replacement. We have recently formalized and developed a theoretical framework to analyze the SR effect in signal and image processing systems. We have obtained fundamental results on whether or not a system is improvable by SR and if yes, what the optimum noise probability density function is for the specific signal processing task. This talk will introduce the phenomenon of SR, present our recent results and will conclude with the application of SR to a variety of applications such as signal detection, parameter estimation and image processing tasks such as image denoising and medical image enhancement. The SR based approach can also be applied to a wide range of other applications, e.g., acoustic signal processing and more importantly, to improve impaired human sensory systems thereby improving quality of life.
About the Speaker: Hao Chen received the B.S. and M.S. degree from the University of Science and Technology of China (USTC), Hefei, China, in 1999 and 2002, respectively, and the Ph.D. degree from Syracuse University, Syracuse, NY, in 2007, all in electrical engineering. He is currently a Research Associate at Syracuse University. His research interests are in the areas of statistical signal and image processing and communication, including stochastic resonance (SR), detection and estimation, remote sensing, image processing and wireless sensor networks (WSN). He was a finalist of the best student paper contest in 2006 International Conference on Acoustic, Speech and Signal Processing (ICASSP 2006). In 2007, he received the All University Doctoral Prize from Syracuse University for Excellence in scholarship and research. |
| < Prev | Next > |
|---|