Multiresolution Signal Decomposition

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 techniquesn Classroom tested textbook clearly describes the commonalities among three key methods-transform coding, and wavelet transformsn Gives comparative performance evaluations of many proposed techniques

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.