Digital Audio Signal Processing
by Udo Zölzer
3rd Edition
Publisher: Wiley-Blackwell
Book Details
| Print ISBN | 9781119832676 |
| eText ISBN | 9781119832690 |
| Publisher | Wiley-Blackwell |
| Publishing Year | 2022 |
| Edition | 3rd Edition |
| Language | English |
| Pages | 416 |
Digital Audio Signal Processing, 3rd Edition, by Udo Zölzer, provides comprehensive instruction on theoretical foundations and practical applications in digital audio engineering.
The textbook presents fundamental principles including quantization, sampling rate conversion, dynamic range control, and room simulation. Revisions prepared for the 2022 edition incorporate dedicated chapters on nonlinear processing and machine learning applications for audio systems.
Designed for advanced engineering and music technology students, researchers, and practicing audio engineers, the volume supports learning with MATLAB exercises and interactive JavaScript applets available through an author companion website.
Table of Contents
Chapter 1: Introduction
- • 1.1 Continuous-time Signals and Convolution
- • 1.2 Continuous-time Fourier Transform and Laplace Transform
- • 1.3 Sampling and Reconstruction
- • 1.4 Discrete-time Signals and Convolution
- • 1.5 Discrete-time Fourier Transform and Z-Transform
- • 1.6 Discrete Fourier Transform
- • 1.7 FIR and IIR Filters
- • 1.8 Adaptive Filters
- • 1.9 Exercises
Chapter 2: Quantization
- • 2.1 Signal Quantization
- • 2.2 Dither
- • 2.3 Spectrum Shaping of Quantization – Noise Shaping
- • 2.4 Number Representation
- • 2.5 JS Applet – Quantization, Dither, and Noise Shaping
- • 2.6 Exercises
Chapter 3: Sampling Rate Conversion
- • 3.1 Basics
- • 3.2 Synchronous Conversion
- • 3.3 Asynchronous Conversion
- • 3.4 Interpolation Methods
- • 3.5 Exercises
Chapter 4: AD/DA Conversion
- • 4.1 Methods
- • 4.2 AD Converters
- • 4.3 DA Converters
- • 4.4 JS Applet – Oversampling and Quantization
- • 4.5 Exercises
Chapter 5: Audio Processing Systems
- • 5.1 Digital Signal Processors
- • 5.2 Digital Audio Interfaces
- • 5.3 Two-channel Systems
- • 5.4 Multi-channel Systems
Chapter 6: Equalizers
- • 6.1 Basics
- • 6.2 Recursive Audio Filters
- • 6.3 Non-recursive Audio Filters
- • 6.4 Multi-complementary Filter Bank
- • 6.5 Delay-based Audio Effects
- • 6.6 JS Applet – Audio Filters
- • 6.7 Exercises
Chapter 7: Room Simulation
- • 7.1 Basics
- • 7.2 Early Reflections
- • 7.3 Subsequent Reverberation
- • 7.4 Approximation of Room Impulse Responses
- • 7.5 JS Applet – Fast Convolution
- • 7.6 Exercises
Chapter 8: Dynamic Range Control
- • 8.1 Basics
- • 8.2 Static Curve
- • 8.3 Dynamic Behavior
- • 8.4 Implementation
- • 8.5 Realization Aspects
- • 8.6 Multiband DRC
- • 8.7 Dynamic Equalizers
- • 8.8 Source-filter DRC
- • 8.9 JS Applet – Dynamic Range Control
- • 8.10 Exercises
Chapter 9: Audio Coding
- • 9.1 Lossless Audio Coding
- • 9.2 Lossy Audio Coding
- • 9.3 Psychoacoustics
- • 9.4 ISO-MPEG1 Audio Coding
- • 9.5 MPEG-2 Audio Coding
- • 9.6 MPEG-2 Advanced Audio Coding
- • 9.7 MPEG-4 Audio Coding
- • 9.8 Spectral Band Replication
- • 9.9 Constrained Energy Lapped Transform – Gain and Shape Coding
- • 9.10 JS Applet – Psychoacoustics
- • 9.11 Exercises
Chapter 10: Nonlinear Processing
- • 10.1 Fundamentals
- • 10.2 Overdrive, Distortion, Clipping
- • 10.3 Nonlinear Filters
- • 10.4 Aliasing and its Mitigation
- • 10.5 Virtual Analog Modeling
- • 10.6 Exercises
Chapter 11: Machine Learning for Audio
- • 11.1 Introduction
- • 11.2 Unsupervised and Supervised Learning
- • 11.3 Gradient Descent and Backpropagation
- • 11.4 Applications
- • 11.5 Exercises
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