ABSTRACT

Wavelet Analysis: Basic Concepts and Applications provides a basic and self-contained introduction to the ideas underpinning wavelet theory and its diverse applications. This book is suitable for master’s or PhD students, senior researchers, or scientists working in industrial settings, where wavelets are used to model real-world phenomena and data needs (such as finance, medicine, engineering, transport, images, signals, etc.).

Features:

  • Offers a self-contained discussion of wavelet theory
  • Suitable for a wide audience of post-graduate students, researchers, practitioners, and theorists
  • Provides researchers with detailed proofs
  • Provides guides for readers to help them understand and practice wavelet analysis in different areas

chapter Chapter 1|4 pages

Introduction

chapter Chapter 2|30 pages

Wavelets on Euclidean Spaces

chapter Chapter 3|16 pages

Wavelets extended

chapter Chapter 4|48 pages

Clifford wavelets

chapter Chapter 5|38 pages

Quantum wavelets

chapter Chapter 6|26 pages

Wavelets in statistics

chapter Chapter 7|20 pages

Wavelets for partial differential equations

chapter Chapter 8|26 pages

Wavelets for fractal and multifractal functions