Fundamentals Of Wavelets
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Fundamentals of Wavelets
Author: Jaideva C. Goswami
language: en
Publisher: John Wiley & Sons
Release Date: 2011-03-08
Most existing books on wavelets are either too mathematical or they focus on too narrow a specialty. This book provides a thorough treatment of the subject from an engineering point of view. It is a one-stop source of theory, algorithms, applications, and computer codes related to wavelets. This second edition has been updated by the addition of: a section on "Other Wavelets" that describes curvelets, ridgelets, lifting wavelets, etc a section on lifting algorithms Sections on Edge Detection and Geophysical Applications Section on Multiresolution Time Domain Method (MRTD) and on Inverse problems
Fundamentals Of Wavelets:Theory, Algorithms And Applications
Fundamentals of Wavelets offer a practical, up-to-date overview of wavelet theory from an engineering point of view. Based on courses taught by the authors at Texas A&M University and at professional, international, technical conferences, this accessible yet detailed treatment provides readers with a clear understanding of the theory and the application of wavelet analysis in many areas of engineering. · Mathematical Preliminaries· Fourier Analysis· Time-Frequency Analysis· Multi resolution Analysis· Construction of Wavelets· Discrete Wavelet Transform and Filter Bank Algorithms· Fast Integral Transform and Applications· Digital Signal Processing Applications· Wavelets in Boundary Value Problems
Wavelets Theory and Its Applications
This book provides comprehensive information on the conceptual basis of wavelet theory and it applications. Maintaining an essential balance between mathematical rigour and the practical applications of wavelet theory, the book is closely linked to the wavelet MATLAB toolbox, which is accompanied, wherever applicable, by relevant MATLAB codes. The book is divided into four parts, the first of which is devoted to the mathematical foundations. The second part offers a basic introduction to wavelets. The third part discusses wavelet-based numerical methods for differential equations, while the last part highlights applications of wavelets in other fields. The book is ideally suited as a text for undergraduate and graduate students of mathematics and engineering.