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An in-depth look at real analysis and its applications, including
an introduction to wavelet
analysis, a popular topic in "applied real analysis." This text
makes a very natural connection between the classic pure analysis
and the applied topics, including measure theory, Lebesgue
Integral,
harmonic analysis and wavelet theory with many associated
applications.
*The text is relatively elementary at the start, but the level of
difficulty steadily increases
*The book contains many clear, detailed examples, case studies and
exercises
*Many real world applications relating to measure theory and pure
analysis
*Introduction to wavelet analysis
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Wavelet Analysis and Applications - Proceedings of an International Conference on Wavelet Analysis and Its Applications, November 15-19, 1999, Zhongshan University, Guangzhou, China (Paperback)
Donggao Deng, Daren Huang, Rong-Qing Jia, Wei Lin, Jian zhong Wang
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R1,877
Discovery Miles 18 770
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Ships in 10 - 15 working days
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Wavelet analysis has been one of the major research directions in
science in the last decade. More and more mathematicians and
scientists join this exciting research area. Certainly, wavelet
analysis has had a great impact in areas such as approximation
theory, harmonic analysis, and scientific computation. More
importantly, wavelet analysis has shown great potential in
applications to information technology such as signal processing,
image processing, and computer graphics. China has played a
significant role in this development of wavelet analysis as
evidenced by many fruitful theoretical results and practical
applications.A conference on wavelet analysis and its applications
was organized to exchange ideas and results with international
research groups at Zhongshan University (Guangzhou, China). This
volume contains the proceedings from that conference. Comprised
here are selected papers from the conference, covering a wide range
of research topics of current interest. Many significant results
are included in the study of refinement equations and refinable
functions, properties and construction of wavelets, spline
wavelets, multi-wavelets, wavelet packets, shift-invariant spaces,
approximation schemes and subdivision algorithms, and tilings.
Several papers also focus on applications of wavelets to numerical
solutions of partial differential equations and integral equations,
image processing and facial recognition, computer vision, and
feature extraction from data.
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