- Cover image
- Title page
- Table of Contents
- Copyright
- Series Preface
- Dedication
- Preface
- Acknowledgements
- Chapter 1: The basics
- 1.1 CHAPTER PREVIEW
- 1.2 ANALOGUE SIGNAL PROCESSING
- 1.3 AN ALTERNATIVE APPROACH
- 1.4 THE COMPLETE DSP SYSTEM
- 1.5 RECAP
- 1.6 DIGITAL DATA PROCESSING
- 1.7 THE RUNNING AVERAGE FILTER
- 1.8 REPRESENTATION OF PROCESSING SYSTEMS
- 1.9 SELF-ASSESSMENT TEST
- 1.10 FEEDBACK (OR RECURSIVE) FILTERS
- 1.11 SELF-ASSESSMENT TEST
- 1.12 CHAPTER SUMMARY
- 1.13 PROBLEMS
- Chapter 2: Discrete signals and systems
- 2.1 CHAPTER PREVIEW
- 2.2 SIGNAL TYPES
- 2.3 THE REPRESENTATION OF DISCRETE SIGNALS
- 2.4 SELF-ASSESSMENT TEST
- 2.5 RECAP
- 2.6 THE z-TRANSFORM
- 2.7 z-TRANSFORM TABLES
- 2.8 SELF-ASSESSMENT TEST
- 2.9 THE TRANSFER FUNCTION FOR A DISCRETE SYSTEM
- 2.10 SELF-ASSESSMENT TEST
- 2.11 MATLAB AND SIGNALS AND SYSTEMS
- 2.12 RECAP
- 2.13 DIGITAL SIGNAL PROCESSORS AND THE z-DOMAIN
- 2.14 FIR FILTERS AND THE z-DOMAIN
- 2.15 IIR FILTERS AND THE z-DOMAIN
- 2.16 SELF-ASSESSMENT TEST
- 2.17 RECAP
- 2.18 CHAPTER SUMMARY
- 2.19 PROBLEMS
- Chapter 3: The z-plane
- 3.1 CHAPTER PREVIEW
- 3.2 POLES, ZEROS AND THE s-PLANE
- 3.3 POLE–ZERO DIAGRAMS FOR CONTINUOUS SIGNALS
- 3.4 SELF-ASSESSMENT TEST
- 3.5 RECAP
- 3.6 FROM THE s-PLANE TO THE z-PLANE
- 3.7 STABILITY AND THE z-PLANE
- 3.8 DISCRETE SIGNALS AND THE z-PLANE
- 3.9 ZEROS
- 3.10 THE NYQUIST FREQUENCY
- 3.11 SELF-ASSESSMENT TEST
- 3.12 THE RELATIONSHIP BETWEEN THE LAPLACE AND z-TRANSFORM
- 3.13 RECAP
- 3.14 THE FREQUENCY RESPONSE OF CONTINUOUS SYSTEMS
- 3.15 SELF-ASSESSMENT TEST
- 3.16 THE FREQUENCY RESPONSE OF DISCRETE SYSTEMS
- 3.17 UNSTABLE SYSTEMS
- 3.18 SELF-ASSESSMENT TEST
- 3.19 RECAP
- 3.20 CHAPTER SUMMARY
- 3.21 PROBLEMS
- Chapter 4: The design of IIR filters
- 4.1 CHAPTER PREVIEW
- 4.2 FILTER BASICS
- 4.3 FIR AND IIR FILTERS
- 4.4 THE DIRECT DESIGN OF IIR FILTERS
- 4.5 SELF-ASSESSMENT TEST
- 4.6 RECAP
- 4.7 THE DESIGN OF IIR FILTERS VIA ANALOGUE FILTERS
- 4.8 THE BILINEAR TRANSFORM
- 4.9 SELF-ASSESSMENT TEST
- 4.10 THE IMPULSE-INVARIANT METHOD
- 4.11 SELF-ASSESSMENT TEST
- 4.12 POLE–ZERO MAPPING
- 4.13 SELF-ASSESSMENT TEST
- 4.14 MATLAB AND s-TO-z TRANSFORMATIONS
- 4.15 CLASSIC ANALOGUE FILTERS
- 4.16 FREQUENCY TRANSFORMATION IN THE s-DOMAIN
- 4.17 FREQUENCY TRANSFORMATION IN THE z-DOMAIN
- 4.18 SELF-ASSESSMENT TEST
- 4.19 RECAP
- 4.20 PRACTICAL REALIZATION OF IIR FILTERS
- 4.21 CHAPTER SUMMARY
- 4.22 PROBLEMS
- Chapter 5: The design of FIR filters
- 5.1 CHAPTER PREVIEW
- 5.2 INTRODUCTION
- 5.3 PHASE-LINEARITY AND FIR FILTERS
- 5.4 RUNNING AVERAGE FILTERS
- 5.5 THE FOURIER TRANSFORM AND THE INVERSE FOURIER TRANSFORM
- 5.6 THE DESIGN OF FIR FILTERS USING THE FOURIER TRANSFORM OR ‘WINDOWING’ METHOD
- 5.7 WINDOWING AND THE GIBBS PHENOMENON
- 5.8 HIGHPASS, BANDPASS AND BANDSTOP FILTERS
- 5.9 SELF-ASSESSMENT TEST
- 5.10 RECAP
- 5.11 THE DISCRETE FOURIER TRANSFORM AND ITS INVERSE
- 5.12 THE DESIGN OF FIR FILTERS USING THE ‘FREQUENCY SAMPLING’ METHOD
- 5.13 SELF-ASSESSMENT TEST
- 5.14 RECAP
- 5.15 THE FAST FOURIER TRANSFORM AND ITS INVERSE
- 5.16 MATLAB AND THE FFT
- 5.17 RECAP
- 5.18 A FINAL WORD OF WARNING
- 5.19 CHAPTER SUMMARY
- 5.20 PROBLEMS
- Answers to self-assessment tests and problems
- References and Bibliography
- Appendix A: Some useful Laplace and z-transforms
- Appendix B: Frequency transformations in the s- and z-domains
- Index
-
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