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Many phenomena around the research in document analysis and
understanding are much better described through the powerful
multiscale signal representations than by traditional ways. From
this perspective, the recent emergence of powerful multiscale
signal representations in general and fractal/wavelet basis
representations in particular, has been particularly timely.
Indeed, out of these theories arise highly natural and extremely
useful representations for a variety of important phenomena in
document analysis and understanding. This book presents both the
development of these new approaches as well as their application to
a number of fundamental problems of interest to scientists and
engineers in document analysis and understanding.
The 2nd edition is an update of the book Wavelet Theory and its
Application to Pattern Recognition published in 2000. Three new
chapters, which are research results conducted during 2001-2008,
are added. The book consists of three parts - the first presents a
brief survey of the status of pattern recognition with wavelet
theory; the second contains the basic theory of wavelet analysis;
the third includes applications of wavelet theory to pattern
recognition. The new book provides a bibliography of 170 references
including the current state-of-the-art theory and applications of
wavelet analysis to pattern recognition.
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Michael Buble
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R154
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