"Wavelet Theory and Its Applications" ed. by Sudhakar Radhakrishnan

This book is intended to attract the attention of practitioners and researchers in the academia and industry interested in challenging paradigms of wavelets and its application with an emphasis on the recent technological developments. The book highlights the current research in the usage of wavelets in different areas such as biomedical analysis, fringe-pattern analysis, image applications, network data transfer applications, and optical measurement techniques.

All the chapters are well demonstrated by various researchers around the world covering the field of mathematics and applied engineering.
The entire work available in the book is mainly focusing on researchers who can do quality research in the area of the usage of wavelets in related fields.
Each chapter is an independent research, which will definitely motivate the young researchers to ponder on.


Contents
Preface
1 Introductory Chapter: Understanding Wavelets
2 Wavelet Correlation Analysis for Quantifying Similarities and Real-Time Estimates of Information Encoded or Decoded in Single-Trial Oscillatory Brain Waves
3 Wavelets in ECG Security Application
4 Empirical Support for Fundamental, Factor Models Explaining Major Capital Markets Using Wavelets
5 An Application of Wavelets to Finance: The Three-Factor Fama/French Model
6 A Comparative Performance of Discrete Wavelet Transform Implementations Using Multiplierless
7 Application of Wavelet Decomposition and Phase Space Reconstruction in Urban Water Consumption Forecasting: Chaotic Approach (Case Study)
8 Wavelet Transform for Educational Network Data Traffic Analysis
9 The 2D Continuous Wavelet Transform: Applications in Fringe Pattern Processing for Optical Measurement Techniques
10 Applications of Wavelet Transforms to the Analysis of Superoscillations
11 Use of Wavelet Techniques in the Study of Seawater Flux Dynamics in Coastal Lakes
12 Wavelets and LPG-PCA for Image Denoising