Wavelets in a Box
Published on 23. August 1998
Software
CD-ROM
286 pages
978-0-12-174565-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
University researchers, engineers, and specialists in numerical applications other than signal and image processing.
Dimensions
Height: 248 mm
Width: 191 mm
Weight
800 gr
ISBN-13
978-0-12-174565-3 (9780121745653)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Steve Lui received his Ph.D. from University of Michigan in 1989. He joined the Computer Science Department of Texas A&M University that same year and is currently an Associate Professor. His research interests include real-time, distributed computing systems, networking, and signal processing.
Content
Wavelet Toolware:
From Fourier Analysis to Wavelet Analysis. Short-Time Fourier Transform. Window Measures. What Is a Wavelet? Continuous Wavelet Transform. Multiresolution Analysis. Types of Wavelets. Wavelet Packets. Two-Dimensional Wavelets. Wavelet Algorithms Overview. Algorithm for Computing the STFT. Algorithm for Computing the CWT. Computation and Display of Scaling Functions. Computation and Graphical Display of Wavelets. Mapping Between B-Splines and Their Duals. Decomposition of a 1-D Signal. Reconstruction of 1-D Signals. Thresholding. Two-Dimensional Extension of Wavelet Algorithms. Other Algorithms. The Wavelet Toolware Overview. Using Toolware. 2-D DWT Tool. 1-D DWT Tool. Continuous Wavelet Transform Tool. Short Time Fourier Transform Tool. Wavelet Builder Tool.
An Introduction to Wavelets:
Preface. An Overview. Fourier Analysis. Wavelet Transforms and Time-Frequency Analysis. Cardinal Spline Analysis. Orthogonal Wavelets and Wavelet Packets. Notes. References. Subject Index. Appendix.
From Fourier Analysis to Wavelet Analysis. Short-Time Fourier Transform. Window Measures. What Is a Wavelet? Continuous Wavelet Transform. Multiresolution Analysis. Types of Wavelets. Wavelet Packets. Two-Dimensional Wavelets. Wavelet Algorithms Overview. Algorithm for Computing the STFT. Algorithm for Computing the CWT. Computation and Display of Scaling Functions. Computation and Graphical Display of Wavelets. Mapping Between B-Splines and Their Duals. Decomposition of a 1-D Signal. Reconstruction of 1-D Signals. Thresholding. Two-Dimensional Extension of Wavelet Algorithms. Other Algorithms. The Wavelet Toolware Overview. Using Toolware. 2-D DWT Tool. 1-D DWT Tool. Continuous Wavelet Transform Tool. Short Time Fourier Transform Tool. Wavelet Builder Tool.
An Introduction to Wavelets:
Preface. An Overview. Fourier Analysis. Wavelet Transforms and Time-Frequency Analysis. Cardinal Spline Analysis. Orthogonal Wavelets and Wavelet Packets. Notes. References. Subject Index. Appendix.