Sampling in Digital Signal Processing and Control

1. Front Matter

   Pages i-xxxii

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2. Fourier Analysis

   • Arie Feuer, Graham C. Goodwin

   Pages 1-70

3. Sampling and Reconstruction

   • Arie Feuer, Graham C. Goodwin

   Pages 71-108

4. Analysis of Discrete-Time Systems

   • Arie Feuer, Graham C. Goodwin

   Pages 109-149

5. Discrete-Time Models of Continuous Deterministic Systems

   • Arie Feuer, Graham C. Goodwin

   Pages 151-184

6. Optimal Linear Estimation with Finite Impulse Response Filters

   • Arie Feuer, Graham C. Goodwin

   Pages 185-208

7. Optimal Linear Estimation with State-Space Filters

   • Arie Feuer, Graham C. Goodwin

   Pages 209-238

8. Periodic and Multirate Filtering

   • Arie Feuer, Graham C. Goodwin

   Pages 239-272

9. Discrete-Time Control

   • Arie Feuer, Graham C. Goodwin

   Pages 273-342

10. Sampled Data Control

    • Arie Feuer, Graham C. Goodwin

    Pages 343-395

11. Generalized Sample-Hold Functions

    • Arie Feuer, Graham C. Goodwin

    Pages 397-436

12. Periodic Control of Linear Time-Invariant Systems

    • Arie Feuer, Graham C. Goodwin

    Pages 437-475

13. Multirate Control

    • Arie Feuer, Graham C. Goodwin

    Pages 477-500

14. Optimal Control of Periodic Systems

    • Arie Feuer, Graham C. Goodwin

    Pages 501-521

15. Back Matter

    Pages 523-544

    PDF

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.

• 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

• Dept. of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel

  Arie Feuer

• The University of Newcastle, Callaghan, Australia

  Graham C. Goodwin

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