New Brain and Whole Body Tissue Clearing|Register Now
»
Multiresolution Signal Decomposition
 
 

Multiresolution Signal Decomposition, 2nd Edition

Transforms, Subbands, and Wavelets

 
Multiresolution Signal Decomposition, 2nd Edition,Ali Akansu,Paul Haddad,ISBN9780080512297
 
 
 

  &      

Academic Press

9780080512297

499

eBook
eBook Overview

VST format:

DRM Free included formats: EPub, Mobi, PDF

USD 150.00
Add to Cart
 
 

Key Features


@bul:* 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

Description

The uniqueness of this book is that it covers such important aspects of modern signal processing as block transforms from subband filter banks and wavelet transforms from a common unifying standpoint, thus demonstrating the commonality among these decomposition techniques. In addition, it covers such @qu:"hot" areas as signal compression and coding, including particular decomposition techniques and tables listing coefficients of subband and wavelet filters and other important properties.
The field of this book (Electrical Engineering/Computer Science) is currently booming, which is, of course, evident from the sales of the previous edition. Since the first edition came out there has been much development, especially as far as the applications. Thus, the second edition addresses new developments in applications-related chapters, especially in chapter 4 "Filterbrook Families: Design and Performance," which is greatly expanded.

Readership

This book is intended for graduate students and R&D practitioners engaged
in signal processing applications in voice and image processing, multimedia,
and telecommunications. It assumes a background in linear systems and
Fourier analysis, some linear algebra, random signals, and an introductory
course in digital signal processing.

Ali Akansu

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.

Affiliations and Expertise

New Jersey Institute of Technology, Newark, NJ, USA

View additional works by Ali N. Akansu

Paul Haddad

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.

Affiliations and Expertise

Polytechnic University, Brooklyn, New York, U.S.A.

View additional works by Paul R. Haddad

Multiresolution Signal Decomposition, 2nd Edition

1. Introduction
2. Orthogonal Transforms
3. Theory of Subband Decomposition
4. Filter Bank Families: Design and Performance
5. Time-Frequency Representations
6. Wavelet Transform
7. Applications

A. Resolution of the Identity and Inversion
B. Orthonormality in Frequency
C. Problems
 
 

Shop with Confidence

Free Shipping around the world
▪ Broad range of products
▪ 30 days return policy
FAQ

Contact Us