Book description
Introduction to Digital Signal Processing covers the basic theory and practice of digital signal processing (DSP) at an introductory level. As with all volumes in the Essential Electronics Series, this book retains the unique formula of minimal mathematics and straightforward explanations. The author has included examples throughout of the standard software design package, MATLAB and screen dumps are used widely throughout to illustrate the text.
Ideal for students on degree and diploma level courses in electric and electronic engineering, 'Introduction to Digital Signal Processing' contains numerous worked examples throughout as well as further problems with solutions to enable students to work both independently and in conjunction with their course.
 Assumes only minimum knowledge of mathematics and electronics
 Concise and written in a straightforward and accessible style
 Packed with worked examples, exercises and selfassesment questions
Table of contents
 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 SELFASSESSMENT TEST
 1.10 FEEDBACK (OR RECURSIVE) FILTERS
 1.11 SELFASSESSMENT 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 SELFASSESSMENT TEST
 2.5 RECAP
 2.6 THE zTRANSFORM
 2.7 zTRANSFORM TABLES
 2.8 SELFASSESSMENT TEST
 2.9 THE TRANSFER FUNCTION FOR A DISCRETE SYSTEM
 2.10 SELFASSESSMENT TEST
 2.11 MATLAB AND SIGNALS AND SYSTEMS
 2.12 RECAP
 2.13 DIGITAL SIGNAL PROCESSORS AND THE zDOMAIN
 2.14 FIR FILTERS AND THE zDOMAIN
 2.15 IIR FILTERS AND THE zDOMAIN
 2.16 SELFASSESSMENT TEST
 2.17 RECAP
 2.18 CHAPTER SUMMARY
 2.19 PROBLEMS

Chapter 3: The zplane
 3.1 CHAPTER PREVIEW
 3.2 POLES, ZEROS AND THE sPLANE
 3.3 POLE–ZERO DIAGRAMS FOR CONTINUOUS SIGNALS
 3.4 SELFASSESSMENT TEST
 3.5 RECAP
 3.6 FROM THE sPLANE TO THE zPLANE
 3.7 STABILITY AND THE zPLANE
 3.8 DISCRETE SIGNALS AND THE zPLANE
 3.9 ZEROS
 3.10 THE NYQUIST FREQUENCY
 3.11 SELFASSESSMENT TEST
 3.12 THE RELATIONSHIP BETWEEN THE LAPLACE AND zTRANSFORM
 3.13 RECAP
 3.14 THE FREQUENCY RESPONSE OF CONTINUOUS SYSTEMS
 3.15 SELFASSESSMENT TEST
 3.16 THE FREQUENCY RESPONSE OF DISCRETE SYSTEMS
 3.17 UNSTABLE SYSTEMS
 3.18 SELFASSESSMENT 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 SELFASSESSMENT TEST
 4.6 RECAP
 4.7 THE DESIGN OF IIR FILTERS VIA ANALOGUE FILTERS
 4.8 THE BILINEAR TRANSFORM
 4.9 SELFASSESSMENT TEST
 4.10 THE IMPULSEINVARIANT METHOD
 4.11 SELFASSESSMENT TEST
 4.12 POLE–ZERO MAPPING
 4.13 SELFASSESSMENT TEST
 4.14 MATLAB AND sTOz TRANSFORMATIONS
 4.15 CLASSIC ANALOGUE FILTERS
 4.16 FREQUENCY TRANSFORMATION IN THE sDOMAIN
 4.17 FREQUENCY TRANSFORMATION IN THE zDOMAIN
 4.18 SELFASSESSMENT 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 PHASELINEARITY 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 SELFASSESSMENT 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 SELFASSESSMENT 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 selfassessment tests and problems
 References and Bibliography
 Appendix A: Some useful Laplace and ztransforms
 Appendix B: Frequency transformations in the s and zdomains
 Index
Product information
 Title: Introduction to Digital Signal Processing
 Author(s):
 Release date: September 2000
 Publisher(s): Newnes
 ISBN: 9780080535005
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