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Signal Processing Across the Layers in Wireless Networks
( H. Vincent Poor, Princeton University)


Martin Vetterli

Ecole Polytechnique Federale de Lausanne (EPFL) and UC Berkeley


Tuesday Sept. 05, 2006 - Auditorium room

Distributed Signal Processing for Sensor Networks

Martin Vetterli
Ecole Polytechnique Federale de Lausanne (EPFL) and UC Berkeley


A sensor network is a spatio-temporal sampling device with a wireless communications infrastructure. In this talk, after a short overview of the Center on Mobile Information and Communication Systems, we will address the following questions:
1. The spatio-temporal structure of distributed signals, with an
emphasis on the physics behind the signals, and results on sampling.
2. The interaction of distributed source compression and transmission,
with a particular focus on joint source-channel coding.
3. Applications in environmental monitoring, like for example
tomographic measurements, and a description of a large scale environmental
monitoring project in the Swiss Alps.
This is joint work with T.Ajdler, G.Barrenetxea, H.Dubois-Ferriere, I.Jovanovic, R.Konsbruck, L.Sbaiz (EPFL), R.Cristescu (Caltech), P.L.Dragotti (Imperial) and M.Gastpar (UC Berkeley).
The work is sponsored by the Center on Mobile Information and Communication Systems, funded by the Swiss National Science Foundation.


Martin Vetterli received his Engineering degree from ETH in Zurich, his MS from Stanford and his Ph.D. from EPFL in Lausanne.
In 1986, he joined Columbia University in New York, first with the Center for Telecommunications Research and then with the Department of Electrical Engineering where he was an Associate Professor of Electrical Engineering. In 1993, he joined the University of California at Berkeley, were he was Full Professor until 1997. Since 1995, he is a Professor at EPFL, where he headed the Communication Systems Division (1996/1997) and heads the Audiovisual Communications Laboratory. From 2001 to 2004 he directed the National Competence Center in Research on mobile information and communication systems.
Since October 2004, he is Vice-President for International Affairs at EPFL. He has held visiting positions at ETHZ (1990) and Stanford (1998).
His research interests are in the areas of applied mathematics, signal processing and communications. He is the co-author of a textbook on ?Wavelets and Subband Coding?, and of over 100 journal papers.


V. John Mathews

Department of Electrical & Computer Engineering
University of Utah
Salt Lake City, UT 84112


Wednesady Sept. 06, 2006 - Auditorium room

Signal Processing in Maternal-Fetal Medicine

V. John Mathews
University of Utah


Between 3 and 8% of pregnant women develop preeclampsia. Approximately one third of these women have serious complications including fetal or perinatal death, premature and small-for-gestational age infants, maternal cerebrovascular accidents, congestive heart failure, and maternal death. Preeclampsia represents an annual health care expense in excess of $5 billion per year in medical care for mothers and premature infants in the United States alone. In addition, many scientists believe that the burden of cardiovascular disease in adults begins in the developmental process and may have roots in maternal-fetal diseases like preeclampsia and intrauterine growth restriction. In spite of dramatic reductions in maternal, fetal and newborn morbidity and mortality, the occurrence rate of preeclampsia has remained unchanged during the last century.
This talk will review current research work on early detection of preeclampsia and other maternal fetal diseases that has origins in abnormal placental development. We will start with an overview of the physiological changes that take place in the mother and fetus during pregnancy. We will discuss how the maternal and fetal circulations systems are affected by pregnancy-related diseases, and explore some of the biochemical changes associated with maternal-fetal diseases. We will then go on to show how signal processing techniques can be applied to detect and characterize many differences between normal and abnormal pregnancies. In general, no one aspect or measurement is able to predict the diseases with high sensitivity and specificity. Multivariate approaches for prediction of maternal-fetal diseases will be discussed. Such techniques will allow physicians to assess the likelihood of the development of preeclampsia and other diseases with roots in abnormal placental development early during pregnancy, much before the symptoms of the disease becomes apparent and allowing them to provide the higher level of care needed by the affected patients.


Dr. V. John Mathews is a Professor of Electrical and Computer Engineering at the University of Utah. He received his Ph. D. and M.S. degrees in Electrical and Computer Engineering from the University of Iowa , Iowa City, Iowa in 1984 and 1981, respectively, and the B. E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1980. At the University of Iowa, he was a Teaching/Research Fellow from 1980 to 1984, and a Visiting Assistant Professor in the Department of Electrical and Computer Engineering during the 1984-85 academic year. He joined the department of Electrical Engineering at the University of Utah in 1985, where he is engaged in teaching signal processing classes and conducting research in signal processing algorithms. He served as the Chairman of the department from 1999 to 2003.
His primary research interests are in adaptive and nonlinear signal processing and application of signal processing techniques in communication systems and biomedical engineering. He is the author of the book Polynomial Signal Processing, published by Wiley, and co-authored with Professor G. L. Sicuranza, University of Trieste, Italy. He has published more than one hundred technical papers.
Dr. Mathews is a fellow of IEEE. He has served as a member of the Signal Processing Theory and Methods Technical Committee, the Education Committee and the Conference Board and the Publication Board of the IEEE Signal Processing Society. He was the Vice President (Finance) of the IEEE Signal Processing Society during 2003-2005. He was elected to the Board of Governors of the IEEE Signal Processing Society in 2003. He is a past associate editor of the IEEE Transactions on Signal Processing, and the IEEE Signal Processing Letters. He serves on the editorial board of the IEEE Signal Processing Magazine at present. He has served on or is currently serving on the organization committees of several international technical conferences including as the General Chairman of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2001 and the IEEE DSP Workshop 1998.


Leonardo Chiariglione
Digital Media Strategist
Via Borgionera, 103
I-10040 Villar Dora (TO) - ITALY


Thursday Sept. 07, 2006 - Auditorium room

Signal Processing between research and exploitation

Leonardo Chiariglione


In the current dynamic environment the time between research
and industry adoption is getting shorter and shorter. In its 18 years
of history MPEG has created a new successful paradigm for channeling
research results into exploitation. The talk will look back at what has
been done and see what must be changed for MPEG to continue serving as a bridge between academia/research and exploitation.


Leonardo Chiariglione graduated from the Polytechnic of Turin and
obtained his Ph. D. degree from the University of Tokyo in 1973.
He has been at the forefront of a number of initiatives that have
helped shape media technology and business as we know them today. Among these the Moving Pictures Experts Group (MPEG) standards committee which he founded and chairs and the Digital Media Project of which he was the proponent and is the current president.
Dr. Chiariglione is the recipient of several awards: among these the
IBC John Tucker Award, the IEEE Masaru Ibuka Consumer Electronics Award, the Kilby Foundation Award and EURASIP Meritorius Service Award 2002.
Since January 2004 he is the CEO of, a consulting company
advising major multinational companies on matters related to digital media.


H. Vincent Poor
Michael Henry Strater University Professor Department of Electrical
Engineering Princeton University Princeton, NJ 08544 USA


Friday Sept. 08, 2006 - Auditorium room

Signal Processing Across the Layers in Wireless Networks

H. Vincent Poor
Princeton University


A major contemporary issue in the design and deployment of wireless networks is the dramatic increase in demand for new capacity and higher performance. The development of these capabilities is limited severely by the scarcity of two of the principal resources in wireless networks, namely energy and bandwidth. Consequently, the community has turned to a third principal resource, the addition of intelligence at all layers of the network, in order to exploit increases in processing power afforded by Moore's Law type improvements in microelectronics. This talk will focus on two aspects of this phenomenon: the impact of advanced physical-layer signal processing on the higher-layer performance of wireless communication networks, notably energy efficiency, throughput and delay; and the use of advanced signal processing principles to improve the efficiency and efficacy of wireless sensor networks.


H. Vincent Poor is the Michael Henry Strater Professor of Electrical Engineering at Princeton University, where he is involved in research and teaching in statistical signal processing and its applications in wireless networks and related fields. Among his publications in these areas is the recent book, Wireless Networks: Multiuser Detection in Cross-Layer Design. Dr. Poor is a member of the U.S. National Academy of Engineering and is a Fellow of the American Academy of Arts & Sciences, the IEEE and other organizations. During the 2003-04 academic year he was a Guggenheim Fellow, dividing a sabbatical leave among Imperial College, Stanford and Harvard. In 2005, he received the IEEE Education Medal.




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