Conferences, Lectures, & Seminars
Events for February
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SIPI Seminar
Mon, Feb 07, 2005 @ 10:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
"Multiscale Reconstruction of Spatio-Temporally Distributed Phenomena"Rebecca WillettRice University, Electrical & Computer Engineering DepartmentAbstract:
Many critical scientific and engineering applications rely upon the accurate reconstruction of spatio-temporally distributed phenomena from measured data. A number of information processing challenges arise routinely in these problems: indirect sensing modalities, decentralized sensing and processing resources, distorted and noisy data, and complicated signal behavior. Sensing is often indirect in nature, such as tomographic projections in medical imaging, resulting in complicated inverse reconstruction problems. The sensing can also be decentralized, as in wireless sensor networks, leading to complex trade-offs between communications, sensing and processing. Furthermore, in any practical system, the measurements are noisy due to errors in sensing and/or quantization effects. In addition to the complex issues associated with sensing, the behavior of the information-bearing signals of interest may be very rich and complex, and consequently difficult to model a priori. All of these issues combine to make accurate reconstruction a complicated task, involving a myriad of system-level and algorithm trade-offs.In this talk, I will demonstrate that nonparametric multiscale reconstruction methods can overcome all the challenges above and provide a theoretical framework for assessing trade-offs between reconstruction accuracy and system resources. First, the theory supporting these methods facilitates characterization of fundamental performance limits. Examples include lower bounds on the best achievable error performance in medical image reconstruction and upper bounds on the total amount of power that must be consumed to perform a sensor network task. Second, the methods themselves are practical and resource-efficient in a broad range of contexts, including a diverse variety of sensing modalities, noise models, data dimensionalities, and error metrics. Third, existing reconstruction methods can often be enhanced with multiscale techniques, resulting in significant improvements in a number of application domains. Underlying these methods are ideas drawn from the theory of multiscale analysis, statistical learning, nonlinear approximation theory, and iterative reconstruction algorithms. I will demonstrate the effectiveness of the theory and methods in several important applications, including medical image reconstruction and environmental monitoring with wireless sensor networks.Biography:
Rebecca Willett is a graduate student in the Electrical and Computer Engineering Department at Rice University. In addition to studying at Rice, Ms. Willett has worked as a Fellow of the Institute for Pure and Applied Mathematics at UCLA, as a visiting researcher at the University of Wisconsin-Madison and the French National Institute for Research in Computer Science and Control (INRIA), and as a member of the Applied Science Research and Development Laboratory at GE Medical Systems (now GE Healthcare). She received the National Science Foundation Graduate Research Fellowship, the Rice University Presidential Scholarship, and the Society of Women Engineers Caterpillar Scholarship. Her research interests include signal processing and communications with applications in medical imaging, astrophysics, and wireless sensor networks. Additional information, including publications and software, are available online at http://www.ece.rice.edu/~willett/.Host: Richard LeahyLocation: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Alma Hernandez
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
DISTINGUISHED LECTURER SERIES
Fri, Feb 11, 2005 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
"CONTINUOUS-TIME DIGITAL FILTERS AND OTHER MIXED-DOMAIN PROCESSORS"PROF. YANNIS TSIVIDISColumbia UniversityGerontology Auditorium (GER 124)Friday, February 11, 20053:00-4:00p.m.Abstract:---------The main part of this talk considers the mixing of two domains usually kept separate: the digital domain, and the continuous time domain. When a continuous-time analog signal is to be processed using conventional DSPs, it is first sampled and quantized. This introduces aliasing of both the signal and the quantization distortion. We propose to quantize, but not sample, the input signal, producing continuous-time binary signals which are processed directly using continuous-time digital hardware. This eliminates aliasing and results in much smaller in-band quantization error than is possible with conventional digital techniques. Preliminary experimental and simulation results support these claims. We then introduce other mixed-domain signal processors, including linear analog filters which use nonlinear signal decompositions and processors in which digital waveforms are processed directly with analog circuits. The emphasis of the talk is on principles, some of which may lead to practically important results whereas others may be interesting only from a conceptual viewpoint.Bio:-----Yannis Tsividis received the B.S. degree from the University of Minnesota, Minneapolis in 1972, and the M.S. and Ph.D. degrees from the University of California, Berkeley, in 1973 and 1976, respectively. Since 1976 he has been with the Department of Electrical Engineering, Columbia University, New York, where he currently holds the Charles Batchelor Memorial Chair. He has done extensive work in analog and mixed-signal MOS integrated circuits at the device, circuit, system, and computer simulation level, starting with the first fully-integrated MOS operational amplifier in 1975. A Fellow of the IEEE, Dr. Tsividis has received or co-received several research awards, including the 1984 Baker Prize Award for the best IEEE publication, the IEEE Circuits and Systems Society's Darlington (1987) and Guilllemin-Cauer (1998) Best Paper Awards, and the 2003 International Solid-State Circuits Conference L. Winner Outstanding Paper Award. He received Columbia's Presidential Award for Outstanding Teaching in 2003 and the IEEE Undergraduate Teaching Award in 2005.Host: Prof. John Choma, x04692 ***A reception will follow the seminar at 4:00p.m.
Location: Ethel Percy Andrus Gerontology Center (GER) - ontology Auditorium
Audiences: Everyone Is Invited
Contact: Rosine Sarafian
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
