This unique resource examines the conceptual computational and practical aspects of applied
signal processing using wavelets. With this book readers will understand and be able to use
the power and utility of new wavelet methods in science and engineering problems and analysis.
The text is written in a clear accessible style avoiding unnecessary abstractions and details.
From a computational perspective wavelet signal processing algorithms are presented and
applied to signal compression noise suppression and signal identification. Numerical
illustrations of these computational techniques are further provided with interactive software
(MATLAB code) that is available on the World Wide Web. Topics and Features Continuous wavelet
and Gabor transforms Frame-based theory of discretization and reconstruction of analog signals
is developed New and efficient overcomplete wavelet transform is introduced and applied
Numerical illustrations with an object-oriented computational perspective using the Wavelet
Signal Processing Workstation (MATLAB code) available This book is an excellent resource for
information and computational tools needed to use wavelets in many types of signal processing
problems. Graduates professionals and practitioners in engineering computer science
geophysics and applied mathematics will benefit from using the book and software tools. The
present softcover reprint is designed to make this classic textbook available to a wider
audience. A self-contained text that is theoretically rigorous while maintaining contact with
interesting applications. A particularly noteworthy topic...is a class of 'overcomplete
wavelets'. These functions are not orthonormal and they lead to many useful results. -Journal
of Mathematical Psychology
