Wavelets seem to be the most efficient tool in signal denoising and
compression. They can be used in an unlimited number of
applications in all fields of chemistry where the instrumental
signals are the source of information about the studied chemical
systems or phenomena, and in all cases where these signals have to
be archived. The quality of the instrumental signals determines the
quality of answer to the basic analytical questions: how many
components are in the studied systems, what are these components
like and what are their concentrations? Efficient compression of
the signal sets can drastically speed up further processing such as
data visualization, modelling (calibration and pattern recognition)
and library search. Exploration of the possible applications of
wavelets in analytical chemistry has just started and this book
will significantly speed up the process.
The first part, concentrating on theoretical aspects, is written
in a tutorial-like manner, with simple numerical examples. For the
reader's convenience, all basic terms are explained in detail and
all unique properties of wavelets are pinpointed and compared with
the other types of basis function. The second part presents
applications of wavelets from many branches of chemistry which will
stimulate chemists to further exploration of this exciting
subject.
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