**Preface** XIII

**Part 1 Signal Processing 1** 

	- **Part 2 Electrical Systems 153**

X Contents


Contents VII

Chapter 19 **Image Denoising Based on**

Chapter 21 **Signal and Image** 

Burhan Ergen

Chapter 22 **A DFT-DWT Domain Invisible** 

Munesh Chandra

Chapter 23 **The Wavelet Transform** 

**Wavelet Analysis for Satellite Imagery 449**  Parthasarathy Subashini and Marimuthu Krishnaveni

**Denoising Using Wavelet Transform 495**

**Copyright Protection of Digital Images 515** 

**Improve Compression of Hyperspectral Images 527**

**Feature-Based Bit Embedding Algorithm 539** 

**Codec Designs for Semi-Regular 3D Meshes 567** 

**for the Understanding of Vortex-Induced Vibration 593** 

**Rotorcraft UAV's Integrated Navigation System 613**

Chapter 25 **Time-Varying Discrete-Time Wavelet Transforms 557** Guangyu Wang, Qianbin Chen and Zufan Zhang

> Shahid M. Satti, Leon Denis, Ruxandra Florea, Jan Cornelis, Peter Schelkens and Adrian Munteanu

Tomoki Ikoma, Koichi Masuda and Hisaaki Maeda

Lei Dai, Juntong Qi, Chong Wu and Jianda Han

**Blind Watermarking Techniques for** 

**as a Classification Criterion Applied to**

Daniel Acevedo and Ana Ruedin

**Part 5 Applications in Engineering 537**

Chapter 24 **Robust Lossless Data Hiding by** 

Chapter 26 **Optimized Scalable Wavelet-Based** 

Chapter 27 **Application of Wavelet Analysis**

Chapter 28 **Application of Wavelets Transform in** 

Ching-Yu Yang

Chapter 20 **Image Watermarking in Higher-Order Gradient Domain 475**  Ehsan N. Arya, Z. Jane Wang and Rabab K. Ward


VI Contents

Chapter 9 **Application of Wavelet Transform** 

Chapter 10 **Wavelet Transform in Fault** 

Lukas Chruszczyk

Chapter 14 **Wavelet Analysis and Neural** 

Khalid Al-Raheem

Simone Delvecchio

**Part 4 Image Processing 371** 

Chapter 16 **Information Extraction and** 

Chapter 17 **The Wavelet Transform** 

Chapter 15 **On the Use of Wavelet Transform** 

**Despeckling of SAR Images with** 

Matej Kseneman and Dušan Gleich

**for Image Processing Applications 395** Bouden Toufik and Nibouche Mokhtar

Chapter 18 **Wavelet Based Image Compression Techniques 423** 

R. N. M. Machado, U. H. Bezerra,

**Part 3 Fault Diagnosis and Monitoring 271** 

Chapter 13 **Utilising the Wavelet Transform in Condition-Based** 

Theodoros Loutas and Vassilis Kostopoulos

**Networks for Bearing Fault Diagnosis 313** 

**for Practical Condition Monitoring Issues 353** 

**Second Generation of Wavelet Transform 373** 

Pooneh Bagheri Zadeh, Akbar Sheikh Akbari and Tom Buggy

**and Artificial Neural Network to Extract Power Quality Information from Voltage** 

M. E. L Tostes, S. C. F. Freire and L. A. Meneses

Chapter 11 **Application of Wavelet Analysis in Power Systems 221**

Chapter 12 **Discrete Wavelet Transform Application to the Protection** 

Enrique Reyes-Archundia, Edgar L. Moreno-Goytia,

**Maintenance: A Review with Applications 273**

**Diagnosis of Analogue Electronic Circuits 197** 

**Oscillographic Signals in Electric Power Systems 177**

Reza Shariatinasab and Mohsen Akbari and Bijan Rahmani

**of Electrical Power System: A Solution Approach for Detecting and Locating Faults in FACTS Environment 245**

José Antonio Gutiérrez-Gnecchi and Francisco Rivas-Dávalos

	- **Part 5 Applications in Engineering 537**

Preface

Engineering.

Engineering, Physics and Technology.

compression of the hyper-spectral images.

Wavelets are functions fulfilling certain mathematical requirements and used in representing data or other functions. The basic idea behind wavelets is to analyze according to scale. Wavelets received considerable attention in the last years because they are very appropriate for application in practical problems in areas of

The book is organized in five main sections denoted as Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in

The wavelet method is used in this book to extract more information than the standard techniques from a given complex signal and it has capabilities for the deconvolution framework. Applications of wavelet transform to the image processing, audio

The applications of wavelet transform in the field of power system dynamics and stability, in fault diagnosis of analogue electronic circuits as well as for practical condition monitoring issues are covered by this book. In addition the application of wavelet analysis combined with artificial neural networks as automatic rolling bearing fault detection and diagnosis is illustrated. The use of the wavelet transform to the denoising process is an important chapter of this book. The reader can see how the wavelet transform was used as a classification criterion applied to improve the

The last chapter of the book presents some specific applications of the wavelet transform in engineering, e.g. to robust lossless data hiding by feature-based bit embedding algorithm, for the understanding of vortex-induced vibration, in rotorcraft UAV's integrated navigation system. Also, a constructive design methodology for

The chapters of this book present the problems for which wavelet transform is best well-suited, indicates how to implement the corresponding algorithms efficiently, and

finally show how to assign the appropriate wavelets for a specified application.

compression and communication systems are also reported.

multi-resolution- scalable mesh compression systems is presented.
