This book provides an in-depth, integrated, and up-to-date exposition of the topic of signal decomposition techniques. Application areas of these techniques include speech and image processing, machine vision, information engineering, High-Definition Television, and telecommunications. The book will serve as the major reference for those entering the field, instructors teaching some or all of the topics in an advanced graduate course and researchers needing to consult an authoritative source.
n The first book to give a unified and coherent exposition of multiresolutional signal decomposition techniques n Classroom tested textbook clearly describes the commonalities among three key methods-transform coding, and wavelet transforms n Gives comparative performance evaluations of many proposed techniques
Graduate students and researchers involved in signal analysis, coding, and compression. This includes industrial researchers as well as those in electrical engineering, computer science, math, and physics departments.
Introduction. Orthogonal Transforms. Subband Signal Decomposition. Wavelet Transforms. Discussions and Future Research. Chapter References. Index.
- No. of pages:
- © Academic Press 1993
- 1st October 1992
- Academic Press
- eBook ISBN:
Professor Haddad's academic career has been spent at the Australian National University, the University of New South Wales, and since 1992 at the University of Tasmania. At UTAS he has held the positions of Head of School of Chemistry (1992) and Dean of the Faculty of Science and Engineering (1993-2001). He was an Australian Research Council Professorial Fellow from 2004-2006, and an Australian Research Council Federation Fellow from 2006-2011. He was awarded the title of Distinguished Professor in 2011. Professor Haddad served as the foundation Director of the Australian Centre for Research on Separation Science from 2001-2013 and as Director of the Pfizer Analytical Research Centre from 2006-2013. He is currently an Emeritus Distinguished Professor.
Polytechnic University, Brooklyn, New York, U.S.A.
Ali N. Akansu received the BS degree from the Technical University of Istanbul, Turkey, in 1980, the MS and Ph.D degrees from the Polytechnic University, Brooklyn, New York in 1983 and 1987, respectively, all in Electrical Engineering. He has been with the Electrical & Computer Engineering Department of the New Jersey Institute of Technology since 1987. He was an academic visitor at David Sarnoff Research Center, at IBM T.J. Watson Research Center, and at GEC-Marconi Electronic Systems Corp. He was a Visiting Professor at Courant Institute of Mathematical Sciences of the New York University performed research on Quantitative Finance. He serves as a consultant to the industry. His current research and professional interests include theory of signals and transforms, financial engineering & electronic trading, and high performance DSP (FPGA & GPU computing).
New Jersey Institute of Technology, Newark, NJ, USA
@qu:"Several texts and monographs are available for the signal processing community that discuss important tools like (orthogonal) transforms for signal coding, subband decomposition of signals and the processing through filter banksand, more recently, wavelet transform techniques. A unified treatment of all those topics is the subject of this book. The general approach [in this book] is from a practical viewpoint. This can be illustrated by the following examples: The text is not theorem-proof structured, but builds up the theory by gradually generalizing the simpler cases; the different techniques are evaluated by objective criteria, especially compaction performance, not only theoretically, but also on standard test images; the book contains several tables of coefficients for some important filters. It stays on a theoretical level though in the sense that it gives the high level formulas, e.g. on quantization effects, but is not involved in bit manipulations or hardware implementation....The book may serve as a reference text for practitioners, but also as a didactical text for students." @source:--MATHEMATICAL REVIEWS