About the Book
This textbook is unique because of its in-depth treatment of the applications of wavelets and wavelet transforms to many areas, across many disciplines. The book is written to serve the needs of a one or two semester course at either the undergraduate or graduate level. The author uses a very simplified, accessible approach that de-emphasizes mathematical rigor. The presentation includes many diagrams to illustrate points being discussed and uses MATLAB for all of application code. The author reinforces concepts introduced in the book with easy to grasp review questions and problems, tailored to each specific chapter for better mastery of the subject matter. This book enables students to understand the fundamental concepts of wavelets and wavelet transforms, as well as how to use them for problem solutions in digital signal and image processing, mixed-signal testing, space applications, aerospace applications, biomedical, cyber security, homeland security and many other application areas.
Table of Contents:
Introduction.- Fundamental Concepts.- Wavelets and Wavelet Transforms.- Generations of Wavelets.- Test Point Selection Using Wavelet Transformation for DACS.- Wavelet-Based Dynamic Testing of ADCs.- Wavelet-Based Static Testing of ADCs.- Wavelet-Based Compression Using Nonorthogonal and Orthogonally Compensated W-Matrices.- Wavelet Application to Compressive Sampling or Compressed Sensing.- Application of Wavelets to Video Compression.- Wavelet and Fractal Applications to the Screening of Mammography.- Application of Wavelets to Image Segmentation.- Hybrid Wavelet and Fractal-Based Segmentation.- Application of Wavelets to Information Security.- Application of Wavelets to Biometrics.- Application of Wavelets to Broadband Line Code Communication Systems.- Wavelet Application in Broadband Power Line Communication Systems.- Application of Wavelets to Signal Detection, Discrimination and Estimation.- Application of Wavelets to Vibration Detection in an Aeroelastic System.- Application of Wavelets to Signal and Image Restoration.- Application of Wavelets to Image Multiscale Analysis Representation.- Wavelet Application in Remote Sensing.- Application of Wavelets to Electromagnetics.- Wavelet Application to Watermarking.- Wavelet Application to Acoustics.
About the Author :
Cajetan M. Akujuobi received his O.N.D. from Institute of Management and Technology Enugu, Nigeria in 1974, the B.S. degree from Southern University, Baton Rouge, Louisiana, in 1980, the M.S. degree from Tuskegee University, Alabama, in 1982, all in electrical & electronics engineering. He received the M.B.A. degree from Hampton University, Hampton, Virginia, in 1987. In 1995, he received the Ph.D. degree from George Mason University, Fairfax, Virginia, in electrical engineering with specialization in signal/image/video processing & communication systems.
He is a full Professor in the Department of Electrical & Computer Engineering and the former Vice President for Research, Innovation and Sponsored Programs at Prairie View A&M University (PVAMU). He served as Dean in two different Universities - the Dean for Graduate Studies at PVAMU and founding STEM Dean at Alabama State University (ASU). He is the founder and the Executive Director of the Center of Excellence for Communication Systems Technology Research (CECSTR), a Texas A&M Board of Regents approved center where he has been able to attract research-funding exceeding over $25 Million. He is the founder and the Principal Investigator for the SECURE Cybersecurity Center of Excellence at PVAMU where he has received over $7 Million research award. Under his leadership as the Vice President for Research, Innovation and Sponsored Programs at Prairie View A&M University (PVAMU), he was instrumental in bringing to PVAMU five new Chancellors’ Research Initiative (CRI) research centers worth about $35 Million. He has worked in such corporations as Texas Instruments, Advanced Hardware Architecture, Schlumberger, Data Race Corporation, Spectrum Engineering, Intelsat and Bell Laboratories.
Prof. Akujuobi developed and taught the Wavelets and Their Applications course at PVAMU for over 20 years. His research interests are in Wavelets and Wavelet transform Analysis and Applications, Cybersecurity, Smart & Connected Cities and DSP Solutions. In addition, his research interests include Communication Systems, Compressive Sensing, Signal/Image/Video Processing, Broadband Communication Systems, and Mixed Signal Systems. He was a participant and collaborative member of the ANSI TIEI.4 Working Group that had the technical responsibility of developing the T1.413, Issue 2 ADSL standard. He has received several professional and community related honors in teaching, research and service and has published extensively including writing books and book Chapters. Two of the books he published with Dr. M. N. O. Sadiku, are “Introduction to Broadband Communication Systems”, and “Solutions Manual for Introduction to Broadband Communication Systems”, both published by Chapman & Hall/CRC and Sci-Tech Publication, Boca Raton, Florida.
Prof. Akujuobi is the current Chair of the IEEE Houston Section Life Members Group. He is also a Life Senior Member of the Institute of Electrical and Electronic Engineers (IEEE), Senior Member of Instrument Society of America (ISA), Member of American Society for Engineering Education (ASEE), Sigma XI, the Scientific Research Society, and the Texas Society for Biomedical Research (TSBR) Board of Directors. He is a licensed Professional Engineer in the State of Texas, USA.
Review :
“This is an excellent book that is very suitable as a textbook for upper-level undergraduate study and graduate studies. Practicing engineers in the industry will find the book very useful. Not only can the book be used for training future digital signal processing engineers, but it can also be used in research, developing efficient and faster computational algorithms for different multi-disciplinary applications. Engineering and scientific professionals can use this book in their research and work-related activities.” (Nikhil Khanna, zbMATH 1504.94001, 2023)
