Fundamentals of Wavelets: Theory, Algorithms, and Applications, 2nd Edition

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

About the Author

Jaideva C. Goswami, PhD, is an Engineering Advisor at Schlumberger in Sugarland, Texas. He is also a former professor of Electronics and Communication Engineering at the Indian Institute of Technology, Kharagpur. Dr. Goswami has taught several short courses on wavelets and contributed to the Wiley Encyclopedia of Electrical and Electronics Engineering as well as Wiley Encyclopedia of RF and Microwave Engineering. He has many research papers and patents to his credit, and is a Fellow of IEEE.

Andrew K. Chan, PhD, is on the faculty of Texas A&M University and is the coauthor of Wavelets in a Box and Wavelet Toolware. He is a Life Fellow of IEEE.

New to Edition

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

Features

Presents a comprehensive engineering approach to wavelet theory
Numerous examples and figures are included
Features wide-ranging applications such as signal processing, electromagnetic wave scattering, and boundary value problems
Covers other time-frequency analysis techniques such as short-time fourier transform and Wigner-Ville Distribution
includes discussion of lifting and complex wavelets
describes curvelets and ridgelets
Discusses Multiresolution Time Domain Method (MRTD)

Series

Wiley Series in Microwave and Optical Engineering

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