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Description
This book provides a comprehensive overview of wavelets starting from the fundamentals of signal analysis using wavelets, to cutting edge technologies like optimum wavelet design for specific applications. To introduce different concepts the authors have used narrative and real world examples with illustrative drawings that enable the reader to visualise the concepts. The book features a mathematical tool for analysing signals with variable resolution in the time and frequency domain. The authors have used simple, innovative and illustrative methods and examples for explaining different concepts. The Matlab programs, included in each chapter, help to give insights into various engineering problems in signal processing. This book can be used by practicing researchers, engineers, and undergraduate or postgraduate level students for computer science and allied courses.
Table of Contents
Introduction.- Signal Space Concept.- Introduction to Wavelet Transform.- Multiresolution Analysis.- Discrete Wavelet Transform and Filter Bank Theory.- Wavelet Design Using Regularity and Moments.- Biorthogonal Wavelets.- Wavelet Construction.- Applications of Wavelet Transform.- Optimization Methods for Wavelet Design.- Conclusion.
