AMS/IP Studies in Advanced Mathematics
Volume: 25; 2002; 326 pp; Softcover
MSC: Primary 42;
Print ISBN: 978-0-8218-2991-2
Product Code: AMSIP/25
List Price: $68.00
Individual Member Price: $54.40
Wavelet Analysis and ApplicationsShare this page
Edited by Donggao Deng; Daren Huang; Rong-Qing Jia; Wei Lin; Jianzhong Wang
A co-publication of the AMS and International Press of Boston, Inc.
Wavelet analysis has been one of the major research directions in
science in the last decade. More and more mathematicians and scientists join
this exciting research area. Certainly, wavelet analysis has had a great impact
in areas such as approximation theory, harmonic analysis, and scientific
computation. More importantly, wavelet analysis has shown great potential in
applications to information technology such as signal processing, image
processing, and computer graphics.
China has played a significant role in this development of wavelet analysis as evidenced by many fruitful theoretical results and practical applications. A conference on wavelet analysis and its applications was organized to exchange ideas and results with international research groups at Zhongshan University (Guangzhou, China). This volume contains the proceedings from that conference.
Comprised here are selected papers from the conference, covering a wide range of research topics of current interest. Many significant results are included in the study of refinement equations and refinable functions, properties and construction of wavelets, spline wavelets, multi-wavelets, wavelet packets, shift-invariant spaces, approximation schemes and subdivision algorithms, and tilings. Several papers also focus on applications of wavelets to numerical solutions of partial differential equations and integral equations, image processing and facial recognition, computer vision, and feature extraction from data.
Titles in this series are co-published with International Press of Boston, Inc., Cambridge, MA.
Table of Contents
Table of Contents
Wavelet Analysis and Applications
Graduate students and research mathematicians interested in wavelets and applications.