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

Content preview from Digital Audio Signal Processing, 3rd Edition

Preface for the Second Edition

This 2nd Edition represents a revised and extended version, and offers an improved description as well as new issues and extended references. The content of this book is the basis of a course on Digital Audio Signal Processing at the Hamburg University of Technology (TU Hamburg‐Harburg) and a course on Multimedia Signal Processing at the Helmut Schmidt University Hamburg. For further study, you can find interactive audio demonstrations, exercises, and Matlab examples on the website.

http://ant.hsu‐hh.de/dasp/.

In addition to the basics of digital audio signal processing introduced in this 2nd edition, further advanced algorithms for digital audio effects can be found in the book DAFX – Digital Audio Effects (Ed. U. Zölzer) with a related website.

http://www.dafx.de.

My thanks go to Prof. Dieter Leckschat, Dr. Gerald Schuller, Udo Ahlvers, Mijail Guillemard, Christian Helmrich, Martin Holters, Dr. Florian Keiler, Stephan Möller, Francois‐Xavier Nsabimana, Christian Ruwwe, Harald Schorr, Dr. Oomke Weikert, Catja Wilkens, and Christian Zimmermann.

Udo Zölzer

Hamburg, December 2007