Wavelet Analysis: Basic Concepts and Applications

Wavelet Analysis: Basic Concepts and Applications is a book that provides a basic and self-contained introduction to wavelet theory and its diverse applications. It is suitable for masters or PhD students, senior researchers, or scientists working in industrial settings, where wavelets are used to model real-world phenomena and data needs.

Format: Paperback / softback
Length: 242 pages
Publication date: 21 May 2023
Publisher: Taylor & Francis Ltd

Wavelet Analysis: Basic Concepts and Applications is a comprehensive and accessible guide to the fundamental principles and wide-ranging applications of wavelet theory. This book is designed for advanced students, researchers, and professionals working in industries where wavelets are employed to model real-world phenomena and address data-driven challenges (such as finance, medicine, engineering, transportation, images, signals, and more).

Key Features:

Self-Contained Discussion: The book offers a comprehensive and self-contained exploration of wavelet theory, providing a solid foundation for readers without prior knowledge in the field. It covers the essential concepts, algorithms, and applications in a clear and concise manner.

Suitable for a Wide Audience: This book is tailored to serve a diverse audience of post-graduate students, researchers, practitioners, and theorists. It provides detailed proofs and explanations, making it suitable for those seeking a deeper understanding of wavelet analysis. Additionally, it includes practical guides and examples to help readers apply wavelet analysis in various domains.

Research-Oriented Approach: The book is primarily aimed at researchers and scholars interested in advancing their knowledge in wavelet analysis. It offers comprehensive coverage of the latest research developments, theoretical foundations, and practical applications, making it an invaluable resource for those working in the field.

Detailed Proofs: The book includes detailed proofs and mathematical explanations, ensuring that readers have a firm grasp of the underlying concepts and algorithms. This is particularly useful for those who wish to pursue further research or apply wavelet analysis in complex scenarios.

Practical Applications: Wavelet analysis has found widespread applications in diverse fields such as finance, medicine, engineering, signal processing, and image processing. The book provides practical examples and case studies from these areas, demonstrating how wavelets can be used to solve real-world problems and extract valuable information from data.

For Post-Graduate Students: This book is an essential resource for post-graduate students enrolled in courses related to signal processing, mathematics, computer science, and engineering. It provides a comprehensive coverage of wavelet theory and its applications, enabling students to develop a strong foundation in the field.

For Researchers: Researchers and scholars in the fields of signal processing, mathematics, computer science, and engineering will find this book invaluable. It offers a comprehensive review of the latest research trends, theoretical foundations, and practical applications, providing valuable insights and inspiration for future research endeavors.

For Practitioners: Professionals working in industries such as finance, medicine, engineering, and data analysis can benefit from using wavelet analysis to model real-world phenomena and extract valuable insights from data. This book provides practical guidance and techniques to help practitioners implement wavelet analysis effectively.

In conclusion, Wavelet Analysis: Basic Concepts and Applications is a comprehensive and accessible guide to the world of wavelet theory and its diverse applications. Whether you are a post-graduate student, researcher, practitioner, or theorist, this book will provide you with the necessary knowledge and tools to excel in your field. Its self-contained discussion, detailed proofs, practical examples, and research-oriented approach make it an invaluable resource for anyone interested in advancing their understanding of wavelet analysis.

Weight: 484g
Dimension: 254 x 177 x 23 (mm)
ISBN-13: 9780367562342