Litcius/Paper detail

Wavelet Analysis

Sabrine Arfaoui, Anouar Ben Mabrouk, Carlo Cattani

202131 citationsDOI

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

Topics & Concepts

WaveletComputer scienceArtificial intelligencePattern recognition (psychology)Image and Signal Denoising Methods