Paul A. Haddad, Ali N. Akansu

Multiresolution Signal Decomposition (eBook, PDF)

Transforms, Subbands, and Wavelets

• Format: PDF

Produktbeschreibung

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

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 376
• Erscheinungstermin: 2. Dezember 2012
• Englisch
• ISBN-13: 9780323138369
• Artikelnr.: 38191993

Autorenporträt

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).