Book description
Digital Audio Signal ProcessingThe 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.
Table of contents
- Cover
- Title Page
- Copyright
- Preface for the Third Edition
- Preface for the Second Edition
- Preface for the First Edition
-
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
- References
- Notes
- Chapter 2: Quantization
- Chapter 3: Sampling Rate Conversion
- Chapter 4: AD/DA Conversion
- Chapter 5: Audio Processing Systems
- Chapter 6: Equalizers
- Chapter 7: Room Simulation
- Chapter 8: Dynamic Range Control
-
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
- References
- Note
- Chapter 10: Nonlinear Processing
- Chapter 11: Machine Learning for Audio
- Index
- End User License Agreement
Product information
- Title: Digital Audio Signal Processing, 3rd Edition
- Author(s):
- Release date: March 2022
- Publisher(s): Wiley
- ISBN: 9781119832676
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