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Sampling in Digital Signal Processing and Control

  • Arie Feuer
  • Graham C. Goodwin

Part of the Systems & Control: Foundations & Applications book series (SCFA)

Table of contents

  1. Front Matter
    Pages i-xxxii
  2. Arie Feuer, Graham C. Goodwin
    Pages 1-70
  3. Arie Feuer, Graham C. Goodwin
    Pages 71-108
  4. Arie Feuer, Graham C. Goodwin
    Pages 109-149
  5. Arie Feuer, Graham C. Goodwin
    Pages 151-184
  6. Arie Feuer, Graham C. Goodwin
    Pages 185-208
  7. Arie Feuer, Graham C. Goodwin
    Pages 209-238
  8. Arie Feuer, Graham C. Goodwin
    Pages 239-272
  9. Arie Feuer, Graham C. Goodwin
    Pages 273-342
  10. Arie Feuer, Graham C. Goodwin
    Pages 343-395
  11. Arie Feuer, Graham C. Goodwin
    Pages 397-436
  12. Arie Feuer, Graham C. Goodwin
    Pages 437-475
  13. Arie Feuer, Graham C. Goodwin
    Pages 477-500
  14. Arie Feuer, Graham C. Goodwin
    Pages 501-521
  15. Back Matter
    Pages 523-544

About this book

Introduction

Undoubtably one of the key factors influencing recent technology has been the advent of high speed computational tools. Virtually every advanced engi­ neering system we come in contact with these days depends upon some form of sampling and digital signal processing. Well known examples are digital tele­ phone systems, digital recording of audio signals and computer control. These developments have been matched by the appearance of a plethora of books which explain a variety of analysis, synthesis and design tools applica­ ble to sampled-data systems. The reader might therefore wonder what is distinc­ tive about the current book. Our observation of the existing literature is that the underlying continuous-time system is usually forgotten once the samples are tak­ en. The alternative point of view, adopted in this book, is to formulate the analy­ sis in such a way that the user is constantly reminded of the presence of the under­ lying continuous-time signals. We thus give emphasis to two aspects of sampled-data analysis: Firstly, we formulate the various algorithms so that the appropriate contin­ uous-time case is approached as the sampling rate increases. Secondly we place emphasis on the continuous-time output response rath­ er than simply focusing on the sampled response.

Keywords

Control Fourier series Fourier transform Kalman filter Minimum Processing calculus differential equation discrete Fourier transform impulse response modeling optimal control signal processing stability transfer function

Authors and affiliations

  • Arie Feuer
    • 1
  • Graham C. Goodwin
    • 2
  1. 1.Dept. of Electrical EngineeringTechnion-Israel Institute of TechnologyHaifaIsrael
  2. 2.The University of NewcastleCallaghanAustralia

Bibliographic information