Digital Audio Signal Processing

Informationen zum Autor Udo Zölzer 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. Klappentext Digital Audio Signal ProcessingThe fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signalsDigital 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 websiteBalancing 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. Zusammenfassung Digital Audio Signal ProcessingThe fully revised new edition of the popular textbook, featuring additional MATLAB exercises and new algorithms for processing digital audio signalsDigital 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 ...

Auteur

Udo Zölzer 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.

Texte du rabat

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.

Contenu

Preface for the Third Edition viii

Preface for the Second Edition ix

Preface for the First Edition x

1 Introduction 1
*U Zölzer*

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 Zölzer*

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 Zölzer*

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

…