Computational Signal Processing with Wavelets
A. Teolis, Naval Research Laboratory, Washington D.C.
0-8176-3909-8 * 1997-Spring * $59.95. * Hardcover * 330 pages
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Computational Signal Processing with Wavelets |
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Chapter 1
Introduction
Although the theory of wavelet analysis is a relatively new and still evolving discipline, there is a deep and sophisticated body of work currently available. Much of this work, however, requires a fairly in depth knowledge of several areas of advanced mathematics and hence limits its accessibility. It is a main objective of this work to strike a balance between accessibility and mathematical rigor which sacrifices as little as possible of both. To help achieve this goal, the dissemination of the material is provided by a hybrid combination of traditional (text) and non-traditional (internet and electronic) media.
Despite the project's multi-faceted nature, the traditional text component is designed as the primary vehicle for delivery of the material. This has been done with the intent that the text be useful as a stand alone reference. Supporting the text is the electronic component of the material which provides a dynamic and interactive aspect to the material. It consists of both software and (WEB accessible) hyper-text documents. In this way interactive illustration of signal processing concepts and techniques are provided in an effective, compelling, and practically useful way.
An underlying goal of the material presented in this work is to provide a bridge between the theory and practice computation of signal processing with particular emphasis on generally non-orthogonal wavelet techniques. Despite the fact that the practice of signal processing is wide and varied one, the term practical signal processing is used in the context of this material with a very specific meaning: the numerical implementation of techniques for signal manipulation on a finite precision digital machine.
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