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Discrete-time Signal Processing

An Algebraic Approach

  • Darrell Williamson
Textbook

Table of contents

  1. Front Matter
    Pages I-XV
  2. Darrell Williamson
    Pages 1-34
  3. Darrell Williamson
    Pages 35-122
  4. Darrell Williamson
    Pages 123-211
  5. Darrell Williamson
    Pages 213-325
  6. Darrell Williamson
    Pages 327-417
  7. Back Matter
    Pages 419-421

About this book

Introduction

The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry ofcontrol and signal processing. This preliminary battle between old and new usually takes place at conferences, through the internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. The applications ofsignal processing techniques have grown and grown. They now cover the wide range from the statistical properties of signals and data through to the hardware problems of communications in all its diverse aspects. Supporting this range ofapplications is a body of theory, analysis and techniques which is equally broad. Darrell Williamson has faced the difficult task of organising this material by adopting an algebraic approach. This uses general mathematical and systems ideas and results to form a firm foundation for the discrete signal processing paradigm. Although this may require some extra concentration and involvement by the student or researcher, the rewards are a clarity of presentation and deeper insight into the power of individual results. An additional benefit is that the algebraic language used is the natural language of computing tools like MATLAB and its simulation facility, SIMULINK.

Keywords

MATLAB Software Symbol algebra algorithms design discrete Fourier transform fast Fourier transform (FFT) filters signal processing signal processor

Authors and affiliations

  • Darrell Williamson
    • 1
  1. 1.Faculty of Engineering and Information TechnologyAustralian National UniversityCanberraAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-0541-1
  • Copyright Information Springer-Verlag London Limited 1999
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-85233-161-0
  • Online ISBN 978-1-4471-0541-1
  • Series Print ISSN 1439-2232
  • Series Online ISSN 2510-3814
  • Buy this book on publisher's site
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