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.



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
CMU Lab Website

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.

In the summer of 1985, she worked for Gaz de France, Paris, France, during the summer of 1987, for INTELSAT, Washington, D.C., and in the summer of 1988, for Pacific Bell, San Ramon, CA.  From 1991 to 2002, she was with Bell Labs, Murray Hill, NJ, as a Member of Technical Staff.  She was a co-founder and Technical VP of xWaveforms, based in New York, NY.  She was also an Adjunct Professor at Columbia University.

Dr. Kovacevic is currently a Professor of Biomedical Engineering and Electrical and Computer Engineering and the Director of the Center for Bioimage Informatics at Carnegie Mellon University. Her research interests include bioimaging as well as multiresolution techniques such as wavelets and frames.

Dr. Kovacevic is a Fellow of the IEEE and a co-author on the paper for which Aleksandra Mojsilovic received the Young Author Best Paper Award.   Her paper on multidimensional filter banks and wavelets, co-authored with Martin Vetterli, was selected as one of the Fundamental Papers in Wavelet Theory, edited by Chris Heil and David Walnut.

She was the Editor-in-Chief of the IEEE Transactions on Image Processing.   She previously served as an Associate Editor of the IEEE Transactions on Signal Processing, as a Guest Co-Editor (with Ingrid Daubechies) of the Special Issue on Wavelets of the Proceedings of the IEEE and as a Guest Co-Editor (with Martin Vetterli) of the Special Issue on Transform Coding of the IEEE Signal Processing Magazine.  She was the Guest Co-Editor (with Robert F. Murphy) of the Special Issue on Molecular and Cellular Bioimaging of the IEEE Signal Processing Magazine. She is or was on the Editorial Boards of the SIAM book series on Computational Science and Engineering, Journal of Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications and the IEEE Signal Processing Magazine.

From 2000-2002, she served as a Member-at-Large of the IEEE Signal Processing Society Board of Governors. She is the Chair of the Bio Imaging and Signal Processing Technical Committee of the IEEE Signal Processing Society.   She was the General Chair of ISBI'06 and a Co-Chair (with Vivek Goyal) of the DIMACS Workshop on Source Coding and Harmonic Analysis and a General Co-Chair (with Jan Allebach) of the Ninth Workshop on Image and Multidimensional Signal Processing.


Vivek K Goyal
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Boston University faculty page
MIT 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.