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
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Multiresolution Signal Composition: Transforms, Subbands, and Wavelets, Second Edition is the first book to give a unified and coherent exposition of orthogonal signal decomposition techniques. Advances in the field of electrical engineering/computer science have occurred since the first edition was published in 1992. This second edition addresses new developments in applications-related chapters, especially in Chapter 4, "Filterbrook Families: Design and Performance," which is greatly expanded. Also included are the most recent applications of orthogonal transforms in digital communications and multimedia.
Multiresolution Signal Composition: Transforms, Subbands, and Wavelets, Second Edition is intended for graduate students and research and development practitioners engaged in signal processing applications in voice and image processing, multimedia, and telecommunications.
Key Features
· Unified and coherent treatment of orthogonal transforms, subbands, and wavelets
· Coverage of emerging applications of orthogonal transforms in digital communications and multimedia
· Duality between analysis and synthesis filter banks for spectral decomposition and synthesis and analysis transmultiplexer structures
· Time-frequency focus on orthogonal decomposition techniques with applications to FDMA, TDMA, and CDMA
Richard A. Haddad received the B.E.E, M.E.E, and Ph.D. degrees in 1956, 1958, and 1962 respectively from the Polytechnic Institute of Brooklyn.He had been on the Electrical Engineering Faculty of Polytechnic University from 1961 to 1995. During his tenure there, he had served in variouscapacities. From 1981 to 1987, he was Associate Dean and then Director of the Westchester Graduate Center. During leaves of absence, he hasserved as a Member of the Technical Staff at Bell Telephone Laboratories, Whippany, N.J. and as first Director of the Engineering Division at theInstitut National d'Electricite et d'Electronique, Boumerdes, Algeria. He has also lectured and consulted in signal processing at universities in Italy,People's Republic of China. Presently he is Professor and Chair, Department of Electrical and Computer Engineering, New Jersey Institute of Technology. New Jersey.He is a senior memeber of IEEE and also an elected member of Eta Kappa Nu, Tau Beta Pi, and Sigma Xi, and the New York Academy of Sciences.
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 IBM T.J.Watson Research Center and at GEC-Marconi Electronic Systems Corp. during the summers of 1989 and 1996, and 1992, respectively. He serves as a consultantto the industry. His current research interests are signal theory, linear transform theory (subbands and wavelets) and algorithms, image-video compression andmultimedia networks, signal processing techniques for digital communications, communication networks and Internet technologies.
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