Bienvenue à la Bibliothèque Alo de l'Université Shalom de Bunia
Ajouter au panier
| Titre : | Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets |
| Auteurs : | Ali Akansu |
| Type de document : | document électronique |
| Editeur : | [S.l.] : Academic Press, 2000 |
| Résumé : |
"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 ""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. * 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 ### Review ""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 ### From the Back Cover 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 ┬À Unified and coherent treatment of orthogonal transforms, subbands, and wavelets ┬À Coverage of emerging applications of orthogonal transforms in digital communications and multimedia ┬À Duality between analysis and synthesis filter banks for spectral decomposition and synthesis and analysis transmultiplexer structures ┬À Time-frequency focus on orthogonal decomposition techniques with applications to FDMA, TDMA, and CDMA" |
