Shearlets: Multiscale Analysis for Multivariate Data
β Scribed by Gitta Kutyniok, Demetrio Labate (auth.), Gitta Kutyniok, Demetrio Labate (eds.)
- Publisher
- BirkhΓ€user Basel
- Year
- 2012
- Tongue
- English
- Leaves
- 346
- Series
- Applied and numerical harmonic analysis
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means of encoding isotropic phenomena. Directional multiscale systems, particularly shearlets, are now having the same dramatic impact on the encoding of multidimensional signals. Since its introduction about five years ago, the theory of shearlets has rapidly developed and gained wide recognition as the superior way of achieving a truly unified treatment in both a continuous and a digital setting. By now, it has reached maturity as a research field, with rich mathematics, efficient numerical methods, and various important applications.
β¦ Table of Contents
Front Matter....Pages i-xix
Introduction to Shearlets....Pages 1-38
Shearlets and Microlocal Analysis....Pages 39-67
Analysis and Identification of Multidimensional Singularities Using the Continuous Shearlet Transform....Pages 69-103
Multivariate Shearlet Transform, Shearlet Coorbit Spaces and Their Structural Properties....Pages 105-144
Shearlets and Optimally Sparse Approximations....Pages 145-197
Shearlet Multiresolution and Multiple Refinement....Pages 199-237
Digital Shearlet Transforms....Pages 239-282
Image Processing Using Shearlets....Pages 283-325
Back Matter....Pages 327-328
β¦ Subjects
Fourier Analysis; Signal, Image and Speech Processing; Numerical Analysis; Data Storage Representation; Applications of Mathematics
π SIMILAR VOLUMES
Statisticians and nonstatisticians alike will appreciate this modern and comprehensive new book on multivariate statistical methods that utilizes statistical computing packages throughout. Author Dallas Johnson uses real-life examples and explains the "when to," "why to," and "how to" of numerous mu
Statisticians and nonstatisticians alike will appreciate this modern and comprehensive new book on multivariate statistical methods that utilizes statistical computing packages throughout. Author Dallas Johnson uses real-life examples and explains the "when to," "why to," and "how to" of numerous mu
Presenting a thorough overview of the theoretical foundations of non-parametric system identification for nonlinear block-oriented systems, this books shows that non-parametric regression can be successfully applied to system identification, and it highlights the achievements in doing so. With emph
<p>Interest in statistical methodology is increasing so rapidly in the astronomical community that accessible introductory material in this area is long overdue. This book fills the gap by providing a presentation of the most useful techniques in multivariate statistics. <br/> A wide-ranging annotat
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and