ABSTRACT
The last two chapters focused on techniques for denoising signals and extract-
ing or highlighting meaningful information from the signals including higher
dimensional patterns that may not be evident from a visual inspection. In
general, the meaningfulness of the information is subjective and depends on
the problem being solved. Ultimately, the success of any strategy depends on
the achievement of the objectives. Therefore, the next step is to examine this
information in the context of these objectives. The strategy adopted in the
approaches presented in this book involves the classification or organization
of the data into meaningful groups.
