Contents


Preface

The wavelet transform is a powerful method applied with great success in several disciplines. For example, when we decompose a signal into wavelets rather than frequencies we can obtain a much better resolution in the domain it is transformed into. Alternatively, when we use a specific wavelet transform the signal is transformed into the wavelet domain. The existence of several wavelet families is a great advantage of the method; however, the question of which is the best family to treat

This book is structured into two main parts: Analysis and Real-World Applications.

Chapters in Part 1 include: "Using Wavelets for Gait and Arm Swing Analysis" by Yor Jaggy Castaño-Pino, Andrés Navarro, Beatriz Muñoz, and Jorge Luis Orozco; "Analysis of Wavelet Transform Design via Filter Bank Technique" by Peter Yusuf Dibal, Elizabeth Onwuka, James Agajo, and Caroline Alenoghena; and "Wavelets for Differential Equations and Numerical Operator Calculus" by

Chapters in Part 2 include: "DWT-Based Data Hiding Technique for Videos Ownership Protection" by Farhan A. Alenizi and Awad Kh. Al-Asmari; "Wavelet Transform Analysis to Applications in Electric Power Systems" by Mario O. Oliveira, J. H. Reversat, and Lucas A. Reynoso; and "Wavelet Transform Applied to Internal Defect Detection by Means of LASER Ultrasound" by Hossam Selim, Fernando Piñal Moctezuma, Miguel Delgado Prieto, José Francisco Trull,

The book is designed for students, postdocs, and researchers willing to enter or to go further into the fascinating world of wavelet theory and its applications.

**Dumitru Baleanu**

Ankara, Turkey

Institute of Space Sciences, Magurele, Bucharest, Romania Department of Mathematics, Faculty of Arts and Sciences,

Professor,

a given data still remains.

Riccardo Bernardini.

Luis Romeral Martínez, and Crina Cojocaru.
