The rapid growth of wavelet applications-speech compression and analysis, image compression and enhancement, and removing noise from audio and images-has created an explosion of activity in creating a theory of wavelet analysis and applying it to a wide variety of scientific and engineering problems. It becomes important, then, that engineers and scientists have a working understanding of wavelets. Until now, however, the study of wavelets has been beyond the mathematical grasp of many who need this understanding. Most treatments of the subject involve ideas from functional analysis, harmonic analysis, and other difficult mathematical techniques.
Wavelets and their Scientific Applications offers an introduction
to wavelet analysis without mathematical rigor, requiring only
algebra and some very basic calculus. The author stresses
applications, and explains, using elementary algebra, how wavelet
methods are typically applied in analyzing digital data.
Software is available for download through CRC's Website that will
enable recording, playing, and modifying sound files, and includes
a facility for displaying, printing and modifying IEEE gray field
images. Unlike other software packages for wavelet analysis, the
author developed this attractive, easy-to-use software without the
need for a C++ compiler or MATLABä. Throughout the book the author
provides numerous suggestions for computer experiments designed to
challenge and enhance the reader's comprehension and provide
practice in applying the concepts learned.
Wavelets and their Scientific Applications thus provides the
perfect vehicle for understanding wavelets and their uses. It
provides a fast-track learning opportunity for scientists and
mathematicians unfamiliar with wavelet concepts and applications,
and it is ideal for anyone without an extensive mathematical