Wavelets and their Applications
The last 15 years have seen an explosion of interest in wavelets
with applications in fields such as image compression, turbulence,
human vision, radar and earthquake prediction.
Wavelets represent an area that combines signal in image
processing, mathematics, physics and electrical engineering.
As such, this title is intended for the wide audience that is
interested in mastering the basic techniques in this subject area,
such as decomposition and compression.
Notations.
Introduction.
Chapter 1. A Guided Tour.
Chapter 2. Mathematical Framework.
Chapter 3. From Wavelet Bases to the Fast Algorithm.
Chapter 4. Wavelet Families.
Chapter 5. Finding and Designing a Wavelet.
Chapter 6. A Short 1D Illustrated Handbook.
Chapter 7. Signal Denoising and Compression.
Chapter 8. Image Processing with Wavelets.
Chapter 9. An Overview of Applications.
Appendix: The EZW Algorithm.
Bibliography.
Index.
Introduction.
Chapter 1. A Guided Tour.
Chapter 2. Mathematical Framework.
Chapter 3. From Wavelet Bases to the Fast Algorithm.
Chapter 4. Wavelet Families.
Chapter 5. Finding and Designing a Wavelet.
Chapter 6. A Short 1D Illustrated Handbook.
Chapter 7. Signal Denoising and Compression.
Chapter 8. Image Processing with Wavelets.
Chapter 9. An Overview of Applications.
Appendix: The EZW Algorithm.
Bibliography.
Index.
Georges Oppenheim, Michel Misiti and Jean-Michel Poggi,
members of the Laboratoire de Mathématiques at Paris 11
University, France, are Mathematics Professors at the Ecole
Centrale de Lyon, University of Marne-La-Vallée and Paris 5
University, France.
Yves Misiti is a research engineer specializing in
computer sciences at Paris 11 University, France.
members of the Laboratoire de Mathématiques at Paris 11
University, France, are Mathematics Professors at the Ecole
Centrale de Lyon, University of Marne-La-Vallée and Paris 5
University, France.
Yves Misiti is a research engineer specializing in
computer sciences at Paris 11 University, France.