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 materials available on the Additional Resources page.

Author Biographies

Martin Vetterli
EPFL Lab Website

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
NYU Website

Jelena Kovacevic received a Ph.D. degree from Columbia University. She then joined Bell Labs, followed by Carnegie Mellon University in 2003, where she was the Hamerschlag University Professor and Head of the Department of ECE, and a Professor of BME. She is currently the William R. Berkley Professor and Dean of the Tandon School of Engineering at New York University. She received the IEEE EMBS Academic Career Achievement Award, IEEE Signal Processing Society Technical Achievement Award, Dowd Fellowship at CMU, Belgrade October Prize, and the E.I. Jury Award at Columbia University. She has co-authored a number of award-winning papers and is a coauthor of the textbooks Wavelets and Subband Coding and Foundations of Signal Processing. Dr. Kovacevic is the Fellow of the IEEE and was the Editor-in-Chief of the IEEE Transactions on Image Processing. She was a keynote speaker at a number of meetings and has been involved in organizing numerous conferences. Her research interests include applying data science to a number of domains such as biology, medicine and smart infrastructure; she is an authority on multiresolution techniques, such as wavelets and frames.

Vivek K Goyal
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Boston University faculty page
Group Website

Vivek Goyal received the B.S. degree in mathematics and the B.S.E. degree in electrical engineering from the University of Iowa, where he received the John Briggs Memorial Award for the top undergraduate student across all colleges. He received the M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley, where he received the Eliahu Jury Award for outstanding achievement in systems, communications, control, or signal processing.

He was a Member of Technical Staff in the Mathematics of Communications Research Department of Bell Laboratories, Lucent Technologies, 1998–2001; and a Senior Research Engineer for Digital Fountain, Inc., 2001–2003. He was with the Massachusetts Institute of Technology 2004–2013, where he was the Esther and Harold E. Edgerton Associate Professor of Electrical Engineering and Principal Investigator of the Signal Transformation and Information Representation group in the Research Laboratory of Electronics. He is now with the Department of Electrical and Computer Engineering of Boston University. His research interests include computational imaging, human perception, decision making, sampling, quantization, and source coding theory.

Dr. Goyal is a member of Phi Beta Kappa, Tau Beta Pi, Sigma Xi, Eta Kappa Nu and SIAM. He is a Fellow of the IEEE. He served on the IEEE Signal Processing Society (SPS) Image and Multiple Dimensional Signal Processing Technical Committee (TC) and the Steering Committee of the IEEE Transactions on Multimedia. He currently serves on the IEEE SPS Image, Video, and Multidimensional Signal Processing TC, the Editorial Board of Foundations and Trends and Signal Processing, and the Scientific Advisory Board of the Banff International Research Station for Mathematical Innovation and Discovery. He is a Technical Program Committee Co-chair of IEEE ICIP 2016 and Sampling Theory and Applications 2015. He has been a Conference Co-chair of the SPIE Wavelets and Sparsity conference series since 2006.

Dr. Goyal was awarded the 2002 IEEE Signal Processing Society Magazine Award for "Multiple Description Coding: Compression Meets the Network" and an NSF CAREER award. Work he supervised won student best paper awards at the IEEE Data Compression Conference in 2006 and 2011 and the IEEE Sensor Array and Multichannel Signal Processing Workshop in 2012 as well as four MIT thesis awards. He is an adviser to 3dim Tech, Inc, which was winner of the 2013 MIT $100K Entrepreneurship Competition Launch Contest Grand Prize and Gold in the 2013 MassChallenge Accelerator.