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Wavelet Transforms and Their Applications in Biology and Geoscience PDF

308 Pages·2016·22.08 MB·English
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WAVELET TRANSFORMS AND THEIR RECENT APPLICATIONS IN BIOLOGY AND GEOSCIENCE Edited by Dumitru Baleanu Wavelet Transforms and Their Recent Applications in Biology and Geoscience Edited by Dumitru Baleanu Published by InTech Janeza Trdine 9, 51000 Rijeka, Croatia Copyright © 2012 InTech All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Vana Persen Technical Editor Teodora Smiljanic Cover Designer InTech Design Team First published February, 2012 Printed in Croatia A free online edition of this book is available at www.intechopen.com Additional hard copies can be obtained from Contents   Preface IX Part 1 Wavelet Transforms in Biology 1 Chapter 1 Wavelet Transform for the Analysis of EEG Signals in Patients with Oral Communications Problems 3 Maria Viqueira, Begona García Zapirain, Amaia Mendez Zorrilla and Ibon Ruiz Chapter 2 Energy Distribution of EEG Signal Components by Wavelet Transform 45 Ibrahim Omerhodzic, Samir Avdakovic, Amir Nuhanovic, Kemal Dizdarevic and Kresimir Rotim Chapter 3 Using Wavelet Transforms for Dimensionality Reduction in a Gait Recognition Framework 61 Milene Arantes and Adilson Gonzaga Chapter 4 The Detection Data of Mammary Carcinoma Processing Method Based on the Wavelet Transformation 77 Meng Yao, Zhifu Tao and Zhongling Han Chapter 5 Wavelet Transforms in Sport: Application to Biological Time Series 93 Juan Manuel Martín-González and Juan Manuel García-Manso Chapter 6 2-D Discrete Wavelet Transform for Hand Palm Texture Biometric Identification and Verification 103 Juan José Fuertes Cebrián, Carlos Manuel Travieso González and Valery Naranjo Ornedo Chapter 7 Brain Computer Interface with Wavelets and Genetic Algorithms 119 Abdolreza Asadi Ghanbari, Mir Mohsen Pedram, Ali Ahmadi, Hamidreza Navidi, Ali Broumandnia and Seyyed Reza Aleaghil VI Contents Chapter 8 Improvement of Shimmer Parameter of Oesophageal Voices Using Wavelet Transform 139 Ibon Ruiz and Begoña García Zapirain Chapter 9 Poisson Noise Removal in Spherical Multichannel Images: Application to Fermi Data 161 Jérémy Schmitt, Jean-Luc Starck, Jalal Fadili and Seth Digel Chapter 10 A Wavelet Multiscale De-Noising Algorithm Based on Radon Transform 189 Xueling Zhu, Xiaofeng Yang, Qinwu Zhou, Liya Wang, Fulai Yuan and Zhengzhong Bian Chapter 11 Application of Wavelet Transform Method for Textile Material Feature Extraction 207 Lijing Wang, Zhongmin Deng and Xungai Wang Chapter 12 Wavelet Transform-Multidisciplinary Applications 225 Ali Al-Ataby, Waleed Al-Nuaimy and Mohammed A. M. Abdullah Part 2 Applications of the Wavelet Transforms in Geoscience 251 Chapter 13 Multiscale Analysis of Geophysical Signals Using the 2D Continuous Wavelet Transform 253 Sid-Ali Ouadfeul, Leila Aliouane, Mohamed Hamoudi, Amar Boudella and Said Eladj Chapter 14 1D Wavelet Transform and Geosciences 277 Sid-Ali Ouadfeul, Leila Aliouane, Mohamed Hamoudi, Amar Boudella and Said Eladj Preface   Wavelet analysis is one of the most effective solutions to overcome the drawbacks of Fourier analysis, and since the seminal work of Ingrid Daubechies was published in the late 1980s, it has been applied very successfully in various branches of science and engineering. The fractional wavelet techniques started to play an important role in data treatment corresponding to complex systems during the last decade. The wavelet transform and it generalization started to be an efficient mathematical tool which has been widely used to investigate a signal in a time-frequency representation to allow analyzing the parts of interest individually. As it is well known the main difficulty in processing the biological signals is their extreme variability and the requirement to analyse on a case by case basis. The wavelet transform is recognized as an useful tool in the signal analysis corresponding to the biological data as well as to the complex seismic data. This book aims to show the range of applications of wavelet analysis to data from the field of biology and geosciences. Specifically, the book contains chapters showing how the wavelet transform was used for the analysis of EEG signals in patients with oral communications,how it was used to investigate the energy distribution of the EEG signal components as well as its use for the dimensional reduction in a gait recognition framework. One of the chapters shows how we can convert EEG activity into cursor movement by a brain computer interface using an appropriate feature extraction scheme. The detection data of mammary carcinoma processing method based on the wavelet transformation was presented. The applications of the wavelet method in sport and hand palm texture biometric identification and verification were illustrated. Improvement of shimmer parameter of oesophageal voices using wavelet transform and the application of this method for textile material feature extraction is another interesting topic covered by this book. The powerful utilization of the wavelet transform and its varieties in two important applications, namely biometrics and non- destructive testing is explained in detail. X Preface In this book the reader can find new methods involving two spherical multiscale transforms, the wavelet and the curvelets, and the design for restoration of spherical data with noise following a Poisson distribution. The book ends with two applications of 1D and 2D wavelet transforms used in treatments of the geophysical signals. I strongly believe that the chapters of this book will be of great help for graduate and postgraduate students, as well as for researchers who will get a general view of the powerful wavelet method and its applications in treatment of biological and geoscience data . Dumitru Baleanu Cankaya University, Faculty of Art and Sciences, Department of Mathematics and Computer Sciences, Ankara, Turkey Institute of Space Sciences, Magurele-Bucharest, Romania

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