The last two decades have produced tremendous developments in
the mathematical theory of wavelets and their great variety of
applications in science and engineering. Wavelets allow complex
information, such as music, speech, images, and patterns, to be
decomposed into an elementary form called building blocks at
different positions and scales. The information is reconstructed
with high precision. In an effort to acquaint researchers in
applied mathematics, physics, statistics, computer science, and
engineering and to stimulate further research, a regional research
conference was organized at the University of Central Florida in
May 1998. Many distinguished applied mathematicians and engineering
scientists participated in the conference and presented a digest of
recent developments, open questions, and unsolved problems in this
rapidly growing and important field.
The carefully selected chapters in this new text will appeal to
the reader interested in a broad perspective of wavelet analysis
and time-frequency signal analysis. Wavelet Transforms and
Time-Frequency Signal Analysis brings together recent developments
in theory and applications of wavelet transforms that are likely to
determine fruitful directions for future advanced study and
research.
The book is designed as a new source for modern topics dealing
with wavelets, wavelet transforms, time-frequency signal analysis,
and other applications for future development of this new,
important, and useful subject for mathematics, science and
engineering.
Topics and Features:
* Offers broad coverage of recent material on wavelet analysis
and time-frequency signal analysis that is not covered in other
recent reference books
* Provides the reader with a thorough mathematical background
and a wide variety of applications that are sufficient for
interdisciplinary collaborative research in applied mathematics
* Presents information that puts the reader at the forefront of
current research
Wavelet Transforms and Time-Frequency Signal Analysis will serve
as a research reference or as a text for an advanced course in
wavelet analysis and time-frequency signal analysis. Professionals
working on modern applied mathematics, computer science, computer
engineering, electrical engineering, physics, and biomedical
engineering will also find this book useful.
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