Multiresolution Signal Decomposition
Transforms, Subbands, and Wavelets
Academic Press
Published on 18. November 1992
Book
Hardback
376 pages
978-0-12-047140-9 (ISBN)
Article exhausted; check for reprint
Description
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.
Reviews / Votes
"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."--MATHEMATICAL REVIEWS
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 259 mm
Width: 184 mm
Weight
830 gr
ISBN-13
978-0-12-047140-9 (9780120471409)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions

Ali N. Akansu | Richard A. Haddad
Multiresolution Signal Decomposition
Transforms, Subbands, and Wavelets
Book
10/2000
2nd Edition
Academic Press
€117.61
Article exhausted; check different version
Additional editions

Paul A. Haddad | Ali N. Akansu
Multiresolution Signal Decomposition
Transforms, Subbands, and Wavelets
E-Book
12/2012
1st Edition
Academic Press
€54.95
Available for download
Persons
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. 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).
Author
Department of Chemistry, University of Tasmania, Hobart, Australia
New Jersey Institute of Technology, Newark, NJ, USA
Content
Introduction. Orthogonal Transforms. Subband Signal Decomposition. Wavelet Transforms. Discussions and Future Research. Chapter References. Index.