Physics

Wavelet Transforms and Their Recent Applications in Biology and Geoscience

Edited by Dumitru Baleanu, ISBN 978-953-51-0212-0, 310 pages, Publisher: InTech, Chapters published March 02, 2012 under CC BY 3.0 license
DOI: 10.5772/2286
Edited Volume

This book reports on recent applications in biology and geoscience. Among them we mention the application of wavelet transforms in the treatment of EEG signals, the dimensionality reduction of the gait recognition framework, the biometric identification and verification. The book also contains applications of the wavelet transforms in the analysis of data collected from sport and breast cancer. The denoting procedure is analyzed within wavelet transform and applied on data coming from real world applications. The book ends with two important applications of the wavelet transforms in geoscience.

Dr. Dumitru Baleanu

Cankaya University, Turkey

Dumitru Baleanu received a B.Sc. degree in Physics from the University of Craiova, Romania, in 1988, an M.Sc. degree from the University of Bucharest, Romania, in 1989, and a Ph.D. degree from the Institute of Atomic Physics, Romania, in 1996. He is Professor at the Institute of Space Sciences, Romania, and since 2000 he is visiting staff member at Cankaya University, Turkey. He published 500 papers in journals indexed in SCI. He is a co-editor of five books published by Springer. He is coauthor of three books published by Elsevier and World Scientific. He is an editorial board member of six ISI journals and is on the 2015 Highly Cited Researcher list in mathematics. His Hirsch index is 33.

Experience

Education

  • 1984 - 1988

    Faculty of Sciences, Universitu of Craiova, Craiova

    Department of Physics

  • 1988 - 1988

    Faculty of Physics, University of Bucharest, Bucharest

    Department of Theoretical Physics

  • 1990 – 1996

    Instiute of Atomic Physics, Instiute of Atomic Physics, Bucharest

    Department of Theoretical Physics

Edited Books

  • Wavelet Transform and Some of Its Real-World Applications

    The book contains six chapters. The use of the progressive regressive strategy for biometrical authentication through the use of human gait and face images was investigated. A new lossy image compression technique that uses singular value decomposition and wavelet difference reduction technique was proposed. The best wavelet packet based selection algorithm and its application in image denoising was discussed. The scaling factor threshold estimator in different color models using a discrete wavelet transform for steganographic algorithms was presented. The extraction of features appearing in current signal using wavelet analysis when there is rotor fault of eccentricity and broken rotor bar was debated. The application of the empirical wavelet transform for seismic anomalies detection in ultralow-frequency geomagnetic signals was illustrated.

  • Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology

    The use of the wavelet transform to analyze the behaviour of the complex systems from various fields started to be widely recognized and applied successfully during the last few decades. In this book some advances in wavelet theory and their applications in engineering, physics and technology are presented. The applications were carefully selected and grouped in five main sections - Signal Processing, Electrical Systems, Fault Diagnosis and Monitoring, Image Processing and Applications in Engineering. One of the key features of this book is that the wavelet concepts have been described from a point of view that is familiar to researchers from various branches of science and engineering. The content of the book is accessible to a large number of readers.

  • Wavelet Transforms and Their Recent Applications in Biology and Geoscience

    This book reports on recent applications in biology and geoscience. Among them we mention the application of wavelet transforms in the treatment of EEG signals, the dimensionality reduction of the gait recognition framework, the biometric identification and verification. The book also contains applications of the wavelet transforms in the analysis of data collected from sport and breast cancer. The denoting procedure is analyzed within wavelet transform and applied on data coming from real world applications. The book ends with two important applications of the wavelet transforms in geoscience.