Digital Audio Signal Processing - Udo Zolzer

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Résumé :
Digital Audio Signal Processing

The fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signals

Digital Audio Signal Processing (DASP) techniques are used in a variety of applications, ranging from audio streaming and computer-generated music to real-time signal processing and virtual sound processing.

Digital Audio Signal Processing provides clear and accessible coverage of the fundamental principles and practical applications of digital audio processing and coding. Throughout the book, the authors explain a wide range of basic audio processing techniques and highlight new directions for automatic tuning of different algorithms and discuss state- of-the-art DASP approaches. Now in its third edition, this popular guide is fully updated with the latest signal processing algorithms for audio processing. Entirely new chapters cover nonlinear processing, Machine Learning (ML) for audio applications, distortion, soft/hard clipping, overdrive, equalizers and delay effects, sampling and reconstruction, and more.

• Covers the fundamentals of quantization, filters, dynamic range control, room simulation, sampling rate conversion, and audio coding
• Describes DASP techniques, their theoretical foundations, and their practical applications
• Discusses modern studio technology, digital transmission systems, storage media, and home entertainment audio components
• Features a new introductory chapter and extensively revised content throughout
• Provides updated application examples and computer-based activities supported with MATLAB exercises and interactive JavaScript applets via an author-hosted companion website

Balancing essential concepts and technological topics, Digital Audio Signal Processing, Third Edition remains the ideal textbook for advanced music technology and engineering students in audio signal processing courses. It is also an invaluable reference for audio engineers, hardware and software developers, and researchers in both academia and industry....

Biographie:

Preface for the Third Edition viii

Preface for the Second Edition ix

Preface for the First Edition x

1 Introduction 1
U Z?lzer

1.1 Continuous-time Signals and Convolution 1

1.2 Continuous-time Fourier Transform and Laplace Transform 6

1.3 Sampling and Reconstruction 6

1.4 Discrete-time Signals and Convolution 8

1.5 Discrete-time Fourier Transform and Z-Transform 11

1.6 Discrete Fourier Transform 11

1.7 FIR and IIR Filters 12

1.8 Adaptive Filters 18

1.9 Exercises 21

References 23

2 Quantization 25
U Z?lzer

2.1 Signal Quantization 25

2.1.1 Classical Quantization Model 25

2.1.2 Quantization Theorem 28

2.1.3 Statistics of Quantization Error 34

2.2 Dither 40

2.2.1 Basics 40

2.2.2 Implementation 44

2.2.3 Examples 44

2.3 Spectrum Shaping of Quantization - Noise Shaping 46

2.4 Number Representation 51

2.4.1 Fixed-point Number Representation 52

2.4.2 Floating-point Number Representation 57

2.4.3 Effects on Format Conversion and Algorithms 60

2.5 JS Applet - Quantization, Dither, and Noise Shaping 62

2.6 Exercises 64

References 65

3 Sampling Rate Conversion 67
U Z?lzer

3.1 Basics 67

3.1.1 Upsampling and Anti-Imaging Filtering 68

3.1.2 Downsampling and Antialiasing Filtering 69

3.2 Synchronous Conversion 70

3.3 Asynchronous Conversion 74

3.3.1 Single-stage Methods 76

3.3.2 Multistage Methods 78

3.3.3 Control of Interpolation Filters 80

3.4 Interpolation Methods 83

3.4.1 Polynomial Interpolation 83

3.4.2 Lagrange Interpolation 85

3.4.3 Spline Interpolation 87

3.5 Exercises 94

References 95

4 AD/DA Conversion 97
U Z?lzer

4.1 Methods 97

4.1.1 Nyquist Sampling 97

4.1.2 Oversampling 98

4.1.3 Delta-sigma Modulation 100

4.2 AD Converters 113

4.2.1 Specifications 113

4.2.2 Parallel Converter 116

4.2.3 Successive Approximation 117

4.2.4 Counter Methods 118

4.2.5 Delta-sigma AD Converter 120

4.3 DA Converters 120

4.3.1 Specifications 121

4.3.2 Switched Voltage and Current Sources 123

4.3.3 Weighted Resistors and Capacitors 124

4.3.4 R-2R Resistor Networks 126

4.3.5 Delta-sigma DA Converter 127

4.4 JS Applet - Oversampling and Quantization 127

4.5 Exercises 129

References 130

5 Audio Processing Systems 131
U Z?lzer and D Ahlers

5.1 Digital Signal Processors 132

5.1.1 Fixed-point DSPs 132

5.1.2 Floating-point DSPs 133

5.2 Digital Audio Interfaces 133

5.2.1 Two-channel AES/EBU Interface 134

5.2.2 MADI Interface 135

5.2.3 Audio in HDMI 139

5.2.4 Audio Computer Interfaces 140

5.2.5 Audio Network Interfaces 141

5.3 Two-channel Systems 146

5.4 Multi-channel Systems 146

References 147

6 Equalizers 149
U Z?lzer

6.1 Basics 149

6.2 Recursive Audio Filters 153

6.2.1 Design 153

6.2.2 Parametric Filter Structures 162

6.2.3 Quantization Effects 172

6.3 Non-recursive Audio Filters 190

6.3.1 Basics of Fast Convolution 191

6.3.2 Fast Convolution of Long Sequences 194

6.3.3 Filter Design by Frequency Sampling 201

6.4 Multi-complementary Filter Bank 202

6.4.1 Principles 203

6.4.2 Example: Eight-band Multi-complementary Filter Bank 208

6.5 Delay-based Audio Effects 214

6.6 JS Applet - Audio Filters 215

6.7 Exercises 2...

Sommaire:

Udo Z?lzer is Professor of Signal Processing and Communication at Helmut Schmidt University, Hamburg, Germany. His research interests include audio and video signal processing and communications. He is the author of several books including DAFX: Digital Audio Effects.