"Wavelet Transform Modern Applications" ed. by Srinivasan Ramakrishnan

This book explores the use of wavelet transforms in signal processing, including image, finance, and communication systems. It covers five contemporary applications, including the interaction between inertial sensors and wavelet filtering techniques, geophysical prospecting, volatility patterns in asset returns, computerized tomography (CT), and fault detection techniques.

The book provides a foundation for further exploration, focusing on wavelet transformations' basic principles, their application in geophysical prospecting, and their use in identifying volatility patterns in asset returns. The book is intended for students, researchers, and professionals interested in understanding wavelet transforms and their practical implementations.

Contents
1. Wavelet Theory and Modern Applications
2. Improvement of the Global Positioning Accuracy with Miniaturized Strap-Down INS Systems through Wavelet Filtering of Data from MEMS Inertial Sensors
3. The Use of the 2D and 3D Complex Wavelet and Ridgelet Transforms in Geophysical Prospecting: Case of Potential Fields Data
4. Perspective Chapter: Detecting Volatility Pattern of Assets Returns Using Wavelet Analysis
5. Discrete Wavelet Transform Application to Three-Phase Power System Short Circuit Fault Detection


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