By
Andrew Chan, Texas A&M University, College Station, U.S.A.
Steve Liu, Texas A&M University, College Station, U.S.A.
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.
Audience:
University researchers, engineers, and specialists in numerical applications other than signal and image processing.
