The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance, Second Edition

Product Description
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance has been fully updated and revised to reflect recent developments in the theory and practical applications of wavelet transform methods.\nThe book is designed specifically for the applied reader in science, engineering, medicine and finance. Newcomers to the subject will find an accessible and clear account of the theory of continuous and discrete wavelet transforms, while readers already acquainted with wavelets can use the book to broaden their perspective. \nOne of the many strengths of the book is its use of several hundred illustrations, some in colour, to convey key concepts and their varied practical uses. Chapters exploring these practical applications highlight both the similarities and differences in wavelet transform methods across different disciplines and also provide a comprehensive list of over 1000 references that will serve as a valuable resource for further study.\nPaul Addison is a Technical Fellow with Medtronic, a global medical technology company. Previously, he was co-founder and CEO of start-up company, CardioDigital Ltd (and later co-founded its US subsidiary, CardioDigital Inc) - a company concerned with the development of novel wavelet-based methods for biosignal analysis. He has a master’s degree in engineering and a PhD in fluid mechanics, both from the University of Glasgow, Scotland (founded 1451). His former academic life as a tenured professor of fluids engineering included the output of a large number of technical papers, covering many aspects of engineering and bioengineering, and two textbooks: Fractals and Chaos: An Illustrated Course and the first edition of The Illustrated Wavelet Transform Handbook. At the time of publication, the author has over 100 issued US patents concerning a wide range of medical device technologies, many of these concerning the wavelet transform analysis of biosignals. He is both a Chartered Engineer and Chartered Physicist.
Review
"The second edition, a revised and extended version of the `illustrated wavelet transform handbook' presents in a first part an introduction to wavelets from the user perspective and then in a second part a broad spectrum of applications in different fields in science, engineering, medicine and finance…The different applications show the interdisciplinary nature of wavelet transforms and their impact in science and technology. The book is well-suited for practical users of wavelets to get an idea of wavelets and applications in different fields, without demanding too much theory and mathematical background. In conclusion, a practical book on wavelets for users of wavelet tools, who do not want to deal with mathematical details and are ready to renounce rigor of mathematics. Many references and numerous examples in different fields give an overview on this rapidly emerging field."- Kai Schneider (Marseille), in Zentralblatt MATH 1376.
"Paul Addison has written a masterfully clear and readable primer on wavelet analysis methods and their many uses in science and engineering. His mathematical expressions are elegant and useful. This book was indispensable to me as I worked to apply wavelet analysis to the radial structure of Saturn’s rings. I am excited now to see this second edition appear with an extensively updated discussion of how wavelet methods are being used across a wide variety of disciplines."―Matthew S. Tiscareno, Senior Research Scientist, SETI Institute, California\n"Everything you want to know about wavelets in one book – from the inception of the wavelet transform to its widespread application across the World of Science! This 2nd edition of The Illustrated Wavelet Transform Handbook contains additional details about theoretical aspects of continuous and discrete wavelet transforms and provides state-of-the-art examples of wavelet appli