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Providing theoretical and practical background, the book's first part covers fundamental physics principles to elastodynamic wave propagation. The second part discusses modern developments such as multicomponent data, multiple elimination, AVO, anisotropy, linear anelasticity, Fourier and wavelet representations, and higher-order statistics.
The book focuses on Fourier transform applications in electromagnetic field and microwave, medical applications, error control coding, methods for option pricing, and Helbert transform application. It is hoped that this book will provide the background, reference and incentive to encourage further research and results in these fields as well as provide tools for practical applications. It provides an applications-oriented analysis written primarily for electrical engineers, control engineers, signal processing engineers, medical researchers, and the academic researchers. In addition the graduate students will also find it useful as a reference for their research activities.
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.