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PROF. DR MARTIN VETTERLI CV Martin Vetterli Martin Vetterli *1957, Swiss citizen, Prof. Dr., Dipl. El.-Ing. Member of the ETH Board and of the Executive Committee since 2017. President of EPFL since 2017. Martin Vetterli received his degree in Electrical Engineering from ETH Zurich, before then completing a Master of Science at Stanford University and finally obtaining his doctorate at EPFL. Following professorships at Columbia University and at the University of California, Berkeley, he returned to EPFL as full professor of Communica- tion Systems in 1995. From 2000 to 2003, he was a member of the Swiss Science Council (SSC). From 2004 to 2011, he was Vice President of EPFL and from 2011 to 2012, Dean of the Faculty of Computer and Communication Sciences. From 2013 to 2016, he was President of the National Research Council of the Swiss National Science Foundation (SNSF). (Photo: Nik Hunger/EPFL) ETH Board, Häldeliweg 15, 8092 Zurich, Switzerland, www.ethboard.ch The ETH Board is the strategic management and supervisory body of the ETH Domain. The ETH Domain is made up of the two Federal Institutes of Technology, i.e. ETH Zurich and EPFL, as well as the four federal research institutes PSI, WSL, Empa and Eawag. The ETH Board is appointed by the Swiss Federal Council. The ETH Board supervises the development plans, is responsible for management accounting, and ensures coordination. It draws up the budget and the financial statements of the ETH Domain and coordinates the value maintenance and continued functionality of the properties. It is the authority responsible for appointments and represents the ETH Domain before the federal authorities. The ETH Board is supported by a Staff Department, which prepares and implements its decisions. .

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Sparse Sampling of Signal Innovations
© DIGITAL VISION Sparse Sampling of Signal Innovations © CREDIT PHOTO [Theory, algorithms, and performance bounds] ignal acquisition and reconstruction is at the heart of signal processing, and [Thierry Blu, sampling theorems provide the bridge between the continuous and the dis- Pier-Luigi Dragotti, crete-time worlds. The most celebrated and widely used sampling theorem is Martin Vetterli, often attributed to Shannon (and many others, from Whittaker to Kotel’nikov and Nyquist, to name a few) and gives a sufficient condition, namely bandlim- Pina Marziliano, Sitedness, for an exact sampling and interpolation formula. The sampling rate, at twice the and Lionel Coulot] maximum frequency present in the signal, is usually called the Nyquist rate. Bandlimitedness, however, is not necessary as is well known but only rarely taken advan- tage of [1]. In this broader, nonbandlimited view, the question is: when can we acquire a signal using a sampling kernel followed by uniform sampling and perfectly reconstruct it? The Shannon case is a particular example, where any signal from the subspace of bandlimited signals, denoted by BL, can be acquired through sampling and perfectly Digital Object Identifier 10.1109/MSP.2007.914998 1053-5888/08/$25.00©2008IEEE IEEE SIGNAL PROCESSING MAGAZINE [31] MARCH 2008 interpolated from the samples. Using the sinc kernel, or ideal And finally, what is the relationship between the presented low-pass filter, nonbandlimited signals will be projected onto methods and classic methods as well as the recent advances in the subspace BL. The question is: can we beat Shannon at this compressed sensing and sampling? game, namely, acquire signals from outside of BL and still perfectly reconstruct? An obvious case is bandpass sampling SIGNALS WITH FINITE RATE OF INNOVATION and variations thereof.
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Signal Processing for Communications
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Title: Signal Representations: from Fourier to Wavelets and Beyond
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Vivek K Goyal Boston University Mobile: +1 617 372 4742 8 St. Mary's Street e-mail: [email protected] Photonics Center Room 435 http://www.bu.edu/ece/people/vivek-goyal/ Boston, MA 02215-2421 Citizenship: United States EDUCATION AND ACADEMIC HONORS University of California, Berkeley, California: M.S. in Electrical Engineering, May 1995 Project: \Quantized Overcomplete Expansions: Analysis, Synthesis and Algorithms" Advisor: Martin Vetterli Ph.D. in Electrical Engineering, December 1998 Thesis: \Beyond Traditional Transform Coding" Advisor: Martin Vetterli Eliahu Jury Award (presented to \a graduate student or recent alumnus for outstanding achievement in Systems, Communications, Control, or Signal Processing") 1998 University of Iowa, Iowa City, Iowa: B.S.E. with highest distinction, with honors in Electrical Engineering, May 1993 B.S. with highest distinction in Mathematics, May 1993 John Briggs Memorial Award (annual award for the top graduate of the University) 1993 Distinguished Student Leader Certiﬁcate 1992 Phi Beta Kappa and Tau Beta Pi inductee National Science Foundation Graduate Fellowship 1993 National Defense Science and Engineering Graduate Fellowship 1993 Tau Beta Pi Graduate Fellowship 1993 Rhodes Scholarship State Finalist 1992 Barry M. Goldwater Scholarship recipient (250 awarded per year nationally) 1990 POSTGRADUATE RESEARCH AND TEACHING APPOINTMENTS Senior Software Engineer { Nest (Google/Alphabet). July 2014{present. Contributing to integration of technology from 3dim Tech and a variety of signal processing and machine perception challenges. Associate Professor { Boston University, Department of Electrical and Computer Engineering. May 2015{ present (on leave May 2015{June 2016). Assistant Professor { Boston University, Department of Electrical and Computer Engineering. January 2014{April 2015 (on leave July 2014{April 2015).
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CV Martin Vetterli
www.snsf.ch Wildhainweg 3, P.O. Box 8232, CH-3001 Berne Communication division CV Martin Vetterli Martin Vetterli was born in 1957 and grew up near Neuchâtel. He received the Dipl. El.-Ing. Degree from Eidgenössische Technische Hochschule (ETHZ), Zurich, in 1981, the Master of Science degree from Stanford University in 1982, and the Doctorat ès Sciences degree from the Ecole Polytech- nique Fédérale, Lausanne, in 1986. After his dissertation, he was an Assistant and then Associate Professor in Electrical Engineering at Columbia University in New York, and in 1993, he became an Associate and then Full Professor at the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. In 1995, he joined the EPFL as a Full Professor. He held several positions at EPFL, including Chair of Communication Systems and founding director of the National Competence Center in Research on Mobile Information and Communication systems (NCCR-MICS). From 2004 to 2011 he was Vice President of EPFL and from 2011 to 2012, he was the Dean of the School of Computer and Communications Sciences. He works in the areas of electrical engineering, computer sciences and applied mathematics. His work covers wavelet theory and applications, image and video compression, self-organized com- munications systems and sensor networks, as well as fast algorithms, and has led to about 150 journals papers. He is the co-author of three textbooks, with J. Kovačević, "Wavelets and Subband Coding" (Prentice-Hall, 1995), with P. Prandoni, "Signal Processing for Communications", (CRC Press, 2008) and with J. Kovačević and V.
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IEEE SIGNAL PROCESSING MAGAZINE VOLUME 33 NUMBER 4 | JULY 2016 Thomas A. Baran, Richard G. Baraniuk, Alan V. Oppenheim, n higher education circles, 2012 may be known as the “year of the MOOC”; the Paolo Prandoni, and launch of several high-profile initiatives, both for profit (Coursera, Udacity) and Martin Vetterli not for profit (edX), created an electrified feeling in the community, with massive open online courses (MOOCs) becoming the hottest new topic in academic conver- Isation. The sudden attention was perhaps slightly forgetful of many notable attempts at distance learning that occurred before, from campus TV networks to well-orga- nized online repositories of teaching material. The new mode of delivery, however, was ushered in by a few large-scale computer science courses, whose broad success triggered significant media attention [1]. In the debate, some were quick to predict the end of traditional brick-and-mortar universities and marveled at the eagerness with which hallowed institutions wanted to be in the game. Some hailed the free and open MOOCs as the great equalizer, capable of providing underprivileged learners around the world with access to the Digital Object Identifier 10.1109/MSP.2016.2556004 Date of publication: 1 July 2016 62 IEEE SIGNAL PROCESSING MAGAZINE | July 2016 | 1053-5888/16©2016IEEE highest-quality education. Of course, after a few EPFL’s Digital Signal Processing on Coursera sobering years of experience, neither extreme actu- ally happened; in this article, we share our collec- Overview and goals tive opinion on this topic. The course Digital Signal Processing, by Paolo Prandoni and Martin Vetterli, was first offered on the Coursera platform Introduction in February 2013.
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Sampling, Sparsity, and Inverse Problems Prof. Dr. Martin Vetterli
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Data 2025 Conference
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Martin VETTERLI
Martin VETTERLI http://lcav.epfl.ch/people/martin.vetterli Ausbildung und Diplome 01/83-04/86 Doktoratsstudium an der Ecole polytechnique fédérale de Lausanne (EPFL), Departement für Elektrotechnik und Elektronik. Promotion im April 1986. 09/81-08/82 Masterprogramm im Departement für Elektrotechnik an der Stanford University mit Kursen über statistische Signalverarbeitung. Master of Science im September 1982. 10/76-01/81 Ingenieurstudium an der Eidgenössischen Technischen Hochschule Zürich, Departement für Elektrotechnik. Erhalt des Titels „Dipl. El.-Ing“ im Februar 1981. Berufserfahrung Ab 01/13 Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung: Präsident des Nationalen Forschungsrats. 03/11-12/12 Ecole polytechnique fédérale de Lausanne (EPFL): Dekan der Fakultät für Informatik und Kommunikation. 05/08-02/11 Ecole polytechnique fédérale de Lausanne (EPFL): Vizepräsident für Institutionelle Angelegenheiten und Mitglied der Geschäftsleitung der EPFL. Verantwortlich für internationale Angelegenheiten, das Management des Rechenzentrums und der Informationssysteme auf dem Campus, die Schule für Management und Sonderprojekte der Hochschule. 10/04-04/08 Ecole polytechnique fédérale de Lausanne (EPFL): Vizepräsident für internationale Angelegenheiten und Mitglied der Geschäftsleitung der EPFL, zuständig für internationale Entwicklungen. 11/01-12/04 Direktor des Nationalen Forschungsschwerpunkts „Mobile Informations- und Kommunikationssysteme“ (NCCR MICS), ein Forschungsschwerpunkt des Schweizerischen Nationalfonds, der für vier Jahre ein Budget von CHF 32 Mio. erhielt und an dem ungefähr 30 Fakultätsmitglieder der EPFL, der ETHZ und anderer schweizerischer akademischer Institutionen beteiligt waren. 12/98-12/08 Mitbegründer und wissenschaftlicher Leiter von Dartfish, einem Schweizer Unternehmen für Video-Spezialeffekte. Ab 08/95 Ordentlicher Professor für Kommunikationssysteme, Ecole polytechnique fédérale de Lausanne. Leiter der Abteilung Kommunikationssysteme von März 1996 bis Dezember 1997.
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Professor Martin Vetterli Distinguished Lecture Series 2010
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