
Résumé
The goal of this book is to present the basics of wavelet theory in a complete, rigorous, and cogent fashion, but at a level that is truly appropriate for upper level undergraduates, first year graduate students, or anyone who has had a course in advanced calculus. The book presents the basic theory of wavelt bases and transforms without assuming any knowledge of Lebesgue integration or the theory of abstract Hilbert spaces. The book motivates the central ideas of wavelet theory by doing a detailed exposition of Haar series, and then shows how a more abstract approach allows us to generalize and improve upon Haar series. Once thes ideas have been established and explored, variations and extensions of the Haar construction are presented. Applications of the theory are to be stressed throughout the book as a means of motivating the usefullness of the theory, but a more complete treatment of applications will be saved for the last three chapters of the book. The book will also include exercises at the end of each chapter.
Table of Contents
- 1. Preface
- 2. Functions and Convergence
- 3. Fourier Series
- 4. The Fourier Transform
- 5. Signals and Systems
- 6. The Haar System
- 7. The Discrete Haar Transform
- 8. Mulitresolution Analysis
- 9. The Discrete Wavelet transform
- 10. Smooth
- Compactly Supported Wavelets
- 11. Biorthogonal Wavelets
- 12. Wavelet Packets
- 13. Image Compression
- 14. Integral Operations; Appendices
L'auteur - David F. Walnut
David Walnut is Professor of Mathematics at George Mason University. His research interests are also in harmonic analysis, especially sampling theory, Radon transforms, and tomography. He is the author of Introduction to Wavelet Analysis.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Birkhäuser |
Auteur(s) | David F. Walnut |
Parution | 04/12/2001 |
Nb. de pages | 450 |
Format | 16 x 24 |
Couverture | Relié |
Poids | 455g |
Intérieur | Noir et Blanc |
EAN13 | 9780817639624 |
ISBN13 | 978-0-8176-3962-4 |
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