book

Digital Audio Signal Processing, 3rd Edition

by Udo Zölzer

March 2022

Intermediate to advanced

416 pages

13h 37m

English

Wiley

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1.1 Continuous‐time Signals and Convolution1.2 Continuous‐time Fourier Transform and Laplace Transform1.3 Sampling and Reconstruction1.4 Discrete‐time Signals and Convolution1.5 Discrete‐time Fourier Transform and Z‐Transform1.6 Discrete Fourier Transform1.7 FIR and IIR Filters1.8 Adaptive Filters1.9 ExercisesReferencesNotes
2.1 Signal Quantization2.2 Dither2.3 Spectrum Shaping of Quantization – Noise Shaping2.4 Number Representation2.5 JS Applet – Quantization, Dither, and Noise Shaping2.6 ExercisesReferencesNote
3.1 Basics3.2 Synchronous Conversion3.3 Asynchronous Conversion3.4 Interpolation Methods3.5 ExercisesReferences
4.1 Methods4.2 AD Converters4.3 DA Converters4.4 JS Applet – Oversampling and Quantization4.5 ExercisesReferences

5.1 Digital Signal Processors5.2 Digital Audio Interfaces5.3 Two‐channel Systems5.4 Multi‐channel SystemsReferencesNotes
6.1 Basics6.2 Recursive Audio Filters6.3 Non‐recursive Audio Filters6.4 Multi‐complementary Filter Bank6.5 Delay‐based Audio Effects6.6 JS Applet – Audio Filters6.7 ExercisesReferences
7.1 Basics7.2 Early Reflections7.3 Subsequent Reverberation7.4 Approximation of Room Impulse Responses7.5 JS Applet – Fast Convolution7.6 ExercisesReferences
8.1 Basics8.2 Static Curve8.3 Dynamic Behavior8.4 Implementation8.5 Realization Aspects8.6 Multiband DRC8.7 Dynamic Equalizers8.8 Source‐filter DRC8.9 JS Applet – Dynamic Range Control8.10 ExercisesReferences
9.1 Lossless Audio Coding9.2 Lossy Audio Coding9.3 Psychoacoustics9.4 ISO‐MPEG1 Audio Coding9.5 MPEG‐2 Audio Coding9.6 MPEG‐2 Advanced Audio Coding9.7 MPEG‐4 Audio Coding9.8 Spectral Band Replication9.9 Constrained Energy Lapped Transform – Gain and Shape Coding9.10 JS Applet – Psychoacoustics9.11 ExercisesReferencesNote
10.1 Fundamentals10.2 Overdrive, Distortion, Clipping10.3 Nonlinear Filters10.4 Aliasing and its Mitigation10.5 Virtual Analog Modeling10.6 ExercisesReferences
11.1 Introduction11.2 Unsupervised and Supervised Learning11.3 Gradient Descent and Backpropagation11.4 Applications11.5 ExercisesReferences

Overview

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.