Introduction to Digital Signal Processing (eBook)

Robert Meddins (Autor)

eBook Download: PDF | EPUB

2000 | 1. Auflage
161 Seiten
Elsevier Science (Verlag)
978-0-08-053500-5 (ISBN)

Infos

'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 self-assesment questions.

Inhalt

Front Cover 1
Introduction to Digital Signal Processing 4
Copyrigth Page 5
Contents 8
Preface 12
Acknowledgements 13
Chapter 1. The basics 14
1.1 Chapter preview 14
1.2 Analogue signal processing 14
1.3 An alternative approach 15
1.4 The complete DSP system 16
1.5 Recap 20
1.6 Digital data processing 20
1.7 The running average filter 20
1.8 Representation of processing systems 22
1.9 Self-assessment test 23
1.10 Feedback (or recursive) filters 23
1.11 Self-assessment test 25
1.12 Chapter summary 26
1.13 Problems 26
Chapter 2. Discrete signals and systems 29
2.1 Chapter preview 29
2.2 Signal types 29
2.3 The representation of discrete signals 30
2.4 Self-assessment test 34
2.5 Recap 34
2.6 The z-transform 35
2.7 z-Transform tables 37
2.8 Self-assessment test 37
2.9 The transfer function for a discrete system 37
2.10 Self-assessment test 41
2.11 MATLAB and signals and systems 42
2.12 Recap 43
2.13 Digital signal processors and the z-domain 44
2.14 FIR filters and the z-domain 46
2.15 IIR filters and the z-domain 47
2.16 Self-assessment test 51
2.17 Recap 52
2.18 Chapter summary 52
2.19 Problems 53
Chapter 3. The z-plane 54
3.1 Chapter preview 54
3.2 Poles, zeros and the s-plane 54
3.3 Pole-zero diagrams for continuous signals 55
3.4 Self-assessment test 58
3.5 Recap 58
3.6 From the s-plane to the z-plane 59
3.7 Stability and the z-plane 60
3.8 Discrete signals and the z-plane 62
3.9 Zeros 65
3.10 The Nyquist frequency 67
3.11 Self-assessment test 68
3.12 The relationship between the Laplace and z-transform 68
3.13 Recap 70
3.14 The frequency response of continuous systems 71
3.15 Self-assessment test 74
3.16 The frequency response of discrete systems 75
3.17 Unstable systems 80
3.18 Self-assessment test 81
3.19 Recap 81
3.20 Chapter summary 82
3.21 Problems 83
Chapter 4. The design of IIR filters 84
4.1 Chapter preview 84
4.2 Filter basics 84
4.3 FIR and IIR filters 86
4.4 The direct design of IIR filters 86
4.5 Self-assessment test 91
4.6 Recap 92
4.7 The design of IIR filters via analogue filters 92
4.8 The bilinear transform 92
4.9 Self-assessment test 97
4.10 The impulse-invariant method 97
4.11 Self-assessment test 102
4.12 Pole-zero mapping 102
4.13 Self-assessment test 104
4.14 MATLAB and s-to-z transformations 105
4.15 Classic analogue filters 105
4.16 Frequency transformation in the s-domain 107
4.17 Frequency transformation in the z-domain 108
4.18 Self-assessment test 110
4.19 Recap 110
4.20 Practical realization of IIR filters 111
4.21 Chapter summary 113
4.22 Problems 113
Chapter 5. The design of FIR filters 115
5.1 Chapter preview 115
5.2 Introduction 115
5.3 Phase-linearity and FIR filters 115
5.4 Running average filters 119
5.5 The Fourier transform and the inverse Fourier transform 120
5.6 The design of FIR filters using the Fourier transform or 'windowing' method 123
5.7 Windowing and the Gibbs phenomenon 129
5.8 Highpass, bandpass and bandstop filters 131
5.9 Self-assessment test 131
5.10 Recap 132
5.11 The discrete Fourier transform and its inverse 132
5.12 The design of FIR filters using the 'frequency sampling' method 137
5.13 Self-assessment test 141
5.14 Recap 141
5.15 The fast Fourier transform and its inverse 141
5.16 MATLAB and the FFT 145
5.17 Recap 147
5.18 A final word of warning 147
5.19 Chapter summary 148
5.20 Problems 148
Answers to self-assessment tests and problems 150
References and bibliography 166
Appendix A: Some useful Laplace and z-transforms 168
Appendix B: Frequency transformations in the s- and z - domains 169
Index 172

Produkt-Details

• Erscheint lt. Verlag: 5.9.2000
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Naturwissenschaften ► Chemie ► Technische Chemie
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Themenwelt: Technik ► Nachrichtentechnik
• Themenwelt: Technik ► Umwelttechnik / Biotechnologie
• ISBN-10: 0-08-053500-3 / 0080535003
• ISBN-13: 978-0-08-053500-5 / 9780080535005