Wavelets are considered by many to be the most powerful mathematical tool for signal and image processing. This unique CD-ROM boxed set contains three useful items: a copy of the text An Introduction to Wavelets by Charles Chui, a CD containing well-designed wavelets and signal processing software by computer scientist Steve Liu, and a booklet that serves both as the manual for the software and a quick reference guide to wavelet basics by electrical engineer Andrew Chan. The software supports all essential wavelets and allows users to put in additional wavelets of their choice and delete the ones they don't need. It also includes custom computation routines (in C-language) for wavelet signal processing. A flexible programming interface through the DLL standard allows the user to plug in new and original processing routines easily. This self-learning package provides the tools for the user to compare short time fourier transform and wavelet transform as well as the trade-off between time/spatial and frequency domain signal analysis. Key Features* Wavelet Toolware* Continuous Wavelt Transforms for a one dimensional signal* Discrete Wavelet Transforms* Short Time Fourier Transform* Computation and display of Scaling Function* Computation and graphical display of Wavelets* Mapping between B-Splines and their duals* Decomposition of a one-dimensional signal* Reconstruction of a one-dimensional signal* Noise removal using hard thresholding* One-dimensional and two-dimensional wavelet packet decomposition and reconstruction* Allows user to put in additional wavelts of their choice an delete the ones they don't needWavelet Toolware is designed as a learning and experimentation toolk, not for solving high-precision computational problems; It works well as a self-contained package or in a learning environment in conjunction with An Introduction to Wavelets.*An Introduction to Wavelets@bul* Market leader as a comprehensive, yet accessible introduction to the state-of-the-art* Time-frequency localization* Integral wavelet transforms* Dyadic wavelets* Frames* Spline-wavelets* Orthonormal wavelet bases* Wavelet packets* Nonorthgonal, semi-orthogonal, and orthogonal wavelets

Wavelets in a Box

Business & Money

Chan, Andrew K.

Liu, Steve J.

Industries

Academic Press

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: 
<ul>
<li>a section on "Other Wavelets" that describes curvelets, ridgelets, lifting wavelets, etc </li> <li>a section on lifting algorithms </li> <li>Sections on Edge Detection and Geophysical Applications </li> <li>Section on Multiresolution Time Domain Method (MRTD) and on Inverse problems </li> </ul>

Fundamentals of Wavelets: Theory, Algorithms, and Applications

Computers & Technology

Goswami, Jaideva C.

Programming

wiley

Wavelet theory originated from research activities in many areas of science and engineering. As a result, it finds applications in a wide range of practical problems. Wavelet techniques are specifically suited for nonstationary signals for which classic Fourier methods are ineffective. Based on courses taught by the authors at Texas A&amp;M University as well as related conferences, Fundamentals of Wavelets is a textbook offering an up-to-date engineering approach to wavelet theory. It balances a discussion of wavelet theory and algorithms with its far-ranging practical applications in signal processing, image processing, electromagnetic wave scattering, and boundary value problems. In a clear, progressive format, the book describes: * Basic concepts of linear algebra, Fourier analysis, and discrete signal analysis * Theoretical aspects of time-frequency analysis and multiresolution analysis * Construction of various wavelets * Algorithms for computing wavelet transformations. Concluding chapters present interesting applications of wavelets to signal processing and boundary value problems. Fundamentals of Wavelets is an essential introduction to wavelet theory for students and professionals alike in a practical, real-world engineering context.

Fundamentals of Wavelets: Theory, Algorithms, and Applications (Wiley Series in Microwave and Optical Engineering)

Engineering & Transportation

Engineering

Wiley-Interscience

Pick Me Up - How to turn a mistake into a strength builder

Self-Help

Happiness

FriesenPress

Supported with over 600 equations and more than 100 illustrations, this reference focuses on the processing of signals from Synthetic Aperture Radar (SAR). Specific remote sensing applications presented in the book include noise and clutter reduction in SAR images, SAR image compression, texture and boundary enhancement in SAR images, directional noise removal and general image processing. You also find in-depth coverage of wavelet techniques for medical diagnostics from images. Other critical topics include artificial neural networks, the Markov random field and artificial intelligence.

Wavelets for Sensing Technologies (Artech House Remote Sensing Library)

Science & Math

Peng, Cheng

Earth Sciences

Artech House

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