![]() |
FOURIER AND WAVELET SIGNAL PROCESSING by Martin Vetterli, Jelena Kovacevic and Vivek K Goyal |
|||||||||
| ||||||||||
|
|
||||||||||
|
More The authors have taught dozens of university courses, short courses and tutorials on wavelets, filter banks, digital signal processing and signal processing applications. This experience is reflected in the book itself and has also yielded a collection of teaching materials, including problems and solutions. These materials are available to instructors upon request, under certain conditions. Goyal and Vetterli will teach a tutorial on teaching signal processing at ICASSP 2012. If you are considering adopting Fourier and Wavelet Signal Processing for your course, please send an email to instructor-inquiries@FourierAndWavelets.org so that we can provide access to teaching materials and help you determine whether our book is a good choice for you.
Author Biographies
Martin Vetterli Martin Vetterli received the Dipl. El.-Ing. degree from ETH Zurich (ETHZ), Switzerland, in 1981, the MS degree from Stanford University in 1982, and the Doctorat ès Sciences degree from EPF Lausanne (EPFL), Switzerland, in 1986. He was a Research Assistant at Stanford and EPFL and has worked for Siemens and AT&T Bell Laboratories. In 1986, he joined Columbia University in New York, where he was last an Associate Professor of Electrical Engineering and co-director of the Image and Advanced Television Laboratory. In 1993, he joined the University of California, Berkeley, where he was a Professor in the Department of Electrical Engineering and Computer Sciences until 1997 and now holds an Adjunct Professor position. Since 1995, he is a Professor of Communication Systems at EPF Lausanne, Switzerland, where he chaired the Communications Systems Division (1996/97) and heads the Audiovisual Communications Laboratory. From 2001 to 2004 he directed the National Competence Center in Research on mobile information and communication systems. He is also a Vice-President for International Affairs at EPFL since October 2004. He has held visiting positions at ETHZ (1990) and Stanford (1998). He is a fellow of the IEEE, a member of SIAM, and was the Area Editor for Speech, Image, Video, and Signal Processing of the IEEE Transactions on Communications. He is also on the editorial boards of Annals of Telecommunications, Applied and Computational Harmonic Analysis and the Journal of Fourier Analysis and Application. He received the Best Paper Award of EURASIP in 1984 for his paper on multidimensional subband coding, the Research Prize of the Brown Bovery Corporation (Switzerland) in 1986 for his doctoral thesis, the IEEE Signal Processing Society's Senior Award in 1991 (for a paper with D. LeGall) and in 1996 (for a paper with K. Ramchandran). He won the Swiss National Latsis Prize in 1996, the SPIE Presidential award in 1999, and the IEEE Signal Processing Technical Achievement Award in 2001. He was a member of the Swiss Council on Science and Technology until Dec. 2003. He was a plenary speaker at various conferences (e.g. 1992 IEEE ICASSP) and is the co-author, with J. Kovacevic, of the book Wavelets and Subband Coding. He has published about 85 journal papers on a variety of topics in signal/image processing and communications and holds 7 patents. His research interests include sampling, wavelets, multirate signal processing, computational complexity, signal processing for communications, digital video processing and joint source/channel coding.
Jelena Kovacevic Jelena Kovacevic received the Dipl. Electr. Eng. degree from the Electrical Engineering Department, University of Belgrade, Yugoslavia, in 1986, and the M.S. and Ph.D. degrees from Columbia University, New York, NY, in 1988 and 1991, respectively. She received the Belgrade October Prize, highest Belgrade prize for student scientific achievements awarded for the Engineering Diploma Thesis in October 1986 and the E. I. Jury Award at Columbia University for outstanding achievement as a graduate student in the areas of systems, communication or signal processing.
Vivek K Goyal Dr. Goyal received the B.S. degree in mathematics and the B.S.E. degree in electrical engineering (both with highest distinction) from the University of Iowa, Iowa City, where he received the John Briggs Memorial Award for the top undergraduate across all colleges. He received the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley, where in 1998, he received the Eliahu Jury Award for outstanding achievement in systems, communications, control, or signal processing. He was a Research Assistant in the Laboratoire de Communications Audiovisuelles at École Polytechnique Fédérale de Lausanne, Switzerland, in 1996. He worked in the Mathematics of Communications Research Department of Bell Laboratories, Lucent Technologies as an intern in 1997 and again as a Member of Technical Staff from 1998 to 2001. From 2001 to 2003 he was a Senior Research Engineer for Digital Fountain, Inc., Fremont, CA. He joined the Department of Electrical Engineering and Computer Science of Massachusetts Institute of Technology in 2004 and currently holds an Esther and Harold E. Edgerton Career Development chair. His research interests include source coding theory, quantization, sampling, and computational imaging. Dr. Goyal is a member of Phi Beta Kappa, Tau Beta Pi, Sigma Xi, Eta Kappa Nu, and SIAM. He is a Senior Member of the IEEE and served a six-year term on the IEEE Signal Processing Society's Image and Multiple Dimensional Signal Processing Technical Committee. He serves on several technical program committees, on the Scientific Advisory Board of the Banff International Research Station for Mathematical Innovation and Discovery, the Editorial Board of Foundations and Trends in Signal Processing, as a permanent Co-Chair of the SPIE Wavelets and Sparsity conference series, and as a TPC Co-Chair of the IEEE International Conference on Image Processing 2016. He was awarded the 2002 IEEE Signal Processing Society Magazine Award for "Multiple Description Coding: Compression Meets the Network'' and the NSF CAREER Award. He is a faculty co-author on two papers that have won the Capocelli Prize of the IEEE Data Compression Conference. |
||||||||||