Wavelets and multiscale analysis : theory and applications
Author(s)
Bibliographic Information
Wavelets and multiscale analysis : theory and applications
（Applied and numerical harmonic analysis / series editor, John J. Benedetto）
Birkhäuser, c2011
Available at 12 libraries
Note
On p. ix and 65 "[2]" is superscript
"A collection of papers written co-authored by participants in the 'Twenty Years of Wavelets' conference held at DePaul in May, 2009"--Pref., p. xi
Includes bibliographical references and index
Contents of Works
- An introduction to Wavelets and multiscale analysis : theory and applications / Ahmed I. Zayed
- The construction of Wavelets sets / John J. Benedetto and Robert L. Benedetto
- The measure of the closure of a Wavelet set may be > 2π / Zhihua Zhang
- Quincunx Wavelets on T[2] / Kenneth R. Hoover and Brody Dylan Johnson
- Crystallographic Haar-type composite dilation Wavelets / Jeffrey D. Blanchard and Kyel R. Steffen
- From full rank subdivision schemes to multichannel Wavelets : a constructive approach / Costanza Conti and Mariantonia Cotronei
- Unitary systems and Bessel generator multipliers / Deguang Han and David R. Larson
- The Zak transform(s) / Eugenio Hernández ... [et al.]
- Harmonic analysis of digital data bases / Ronald R. Coifman and Matan Gavish
- Some recent advances in multiscale geometric analysis of point clouds / Guangliang Chen ... [et al.]
- Signal ensemble classification using low-dimensional embeddings and earth mover's distance / Linh Lieu and Naoki Saito
- Wavelets on manifolds and statistical applications to cosmology / Daryl Geller and Azita Mayeli
- Wavelets, a numerical tool for atmospheric data analysis / Parick Fischer and Ka-Kit Tung
- Denoising speech signals for digital hearing aids : a Wavelets based approach / Nathaniel Whitmal, Janet Rutledge, and Jonathan Cohen
Description and Table of Contents
Description
Since its emergence as an important research area in the early 1980s, the topic of wavelets has undergone tremendous development on both theoretical and applied fronts. Myriad research and survey papers and monographs have been published on the subject, documenting different areas of applications such as sound and image processing, denoising, data compression, tomography, and medical imaging. The study of wavelets remains a very active field of research, and many of its central techniques and ideas have evolved into new and promising research areas.
This volume, a collection of invited contributions developed from talks at an international conference on wavelets, is divided into three parts: Part I is devoted to the mathematical theory of wavelets and features several papers on wavelet sets and the construction of wavelet bases in different settings. Part II looks at the use of multiscale harmonic analysis for understanding the geometry of large data sets and extracting information from them. Part III focuses on applications of wavelet theory to the study of several real-world problems.
Overall, the book is an excellent reference for graduate students, researchers, and practitioners in theoretical and applied mathematics, or in engineering.
Table of Contents
Preface.- Contributors.- 1 An Introduction to Wavelets and Multi-scale Analysis: Theory and Applications.- Part I The Mathematical Theory of Wavelets.- 2 The Construction of Wavelet Sets.- 3 The Measure of the Closure of a Wavelet Set May Be >2pi.- Quincunx Wavelets on T^2.- Crystallographic Haar-type Composite Dilation Wavelets.- 6 From Full Rank Subdivision Schemes to Multichannel Wavelets: A Constructive Approach.- 7 Unitary Systems and Bessel Generator Multipliers.- 8 The Zak Transform(s).- Part II The Geometry of Large Data Sets.- 9 Harmonic Analysis of Digital Databases.- 10 Some Recent Advances in Multiscale Geometric Analysis of Point Clouds.- 11 Signal Ensemble Classification Using Low-Dimensional Embeddings and Earth Mover's Distance.- Part III Applications of Wavelets.- 12 Wavelets on Manifolds and Statistical Applications to Cosmology.- 13 Wavelets, a Numerical Tool for Atmospheric Data Analysis.- 14 Denoising Speech Signals for Digital Hearing Aids: A Wavelet Based Approach.- Index.
by "Nielsen BookData"