Practical Digital Signal Processing (eBook)

Front cover 1
Copyright 5
Contents 6
Preface 9
1. Introduction 12
1.1 Benefits of processing signals digitally 12
1.2 Definition of some terms 13
1.3 DSP systems 14
1.4 Some application areas 15
1.5 Objectives and overview of the book 23
2. Converting analog to digital signals and vice versa 25
2.1 A typical DSP system 25
2.2 Sampling 26
2.3 Quantization 35
2.4 Analog-to-digital converters 45
2.5 Analog reconstruction 53
2.6 Digital-to-analog converters 57
2.7 To probe further 59
3. Time-domain representation of discrete- time signals and systems 61
3.1 Notation 61
3.2 Typical discrete- time signals 61
3.3 Operations on discrete-time signals 63
3.4 Classification of systems 65
3.5 The concept of convolution 66
3.6 Autocorrelation and cross- correlation of sequences 68
4. Frequency-domain representation of discrete- time signals 72
4.1 Discrete Fourier series for discrete-time periodic signals 73
4.2 Discrete Fourier transform for discrete-time aperiodic signals 74
4.3 The inverse discrete Fourier transform and its computation 75
4.4 Properties of the DFT 75
4.5 The fast Fourier transform 78
4.6 Practical implementation issues 82
4.7 Computation of convolution using DFT 85
4.8 Frequency ranges of some natural and man-made signals 89
5. DSP application examples 90
5.1 Periodic signal generation using wave tables 91
5.2 Wireless transmitter implementation 94
5.3 Speech synthesis 99
5.4 Image enhancement 102
5.5 Active noise control 105
5.6 To probe further 108
6. Finite impulse response filter design 109
6.1 Classification of digital filters 109
6.2 Filter design process 110
6.3 Characteristics of FIR filters 113
6.4 Window method 117
6.5 Frequency sampling method 139
6.6 Parks-McClelland method 145
6.7 Linear programming method 152
6.8 Design examples 153
6.9 To probe further 155
7. Infinite impulse response (IIR) filter design 156
7.1 Characteristics of IIR filters 157
7.2 Review of classical analog filter 158
7.3 IIR filters from analog filters 168
7.4 Direct design methods 176
7.5 FIR vs IIR 180
7.6 To probe further 181
8. Digital filter realizations 182
8.1 Direct form 182
8.2 Cascade form 190
8.3 Parallel form 192
8.4 Other structures 194
8.5 Software implementation 197
8.6 Representation of numbers 198
8.7 Finite word-length effects 202
9. Digital signal processors 215
9.1 Common features 215
9.2 Hardware architecture 217
9.3 Special instructions and addressing modes 226
9.4 General purpose microprocessors for DSP 235
9.5 Choosing a processor 235
9.6 To probe further 236
10. Hardware and software development tools 237
10.1 DSP system design flow 237
10.2 Development tools 242
Appendix A: Binary encoding of quantization levels 249
Appendix B: Practical sessions 251
Index 294