Digital audio signal processing

Summary: "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 a companion website Balancing essential concepts and technological topics, Digital Audio Signal Processing, Third Edition remainsthe 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"--

Record details

ISBN: 9781119832676
ISBN: 1119832683
ISBN: 9781119832683
ISBN: 1119832691
ISBN: 9781119832690
Physical Description: 1 online resource
remote
Edition: Third edition.
Publisher: Hoboken : Wiley, 2022.

Content descriptions

Bibliography, etc. Note:	Includes bibliographical references and index.
Formatted Contents Note:	K¨oper 10.1 Fundamentals 355 10.2 Overdrive, Distortion, Clipping 357 10.3 Nonlinear Filters 361 10.4 Aliasing and its Mitigation 365 10.5 Virtual Analog Modeling 370 10.5.1 Wave Digital Filters 370 10.5.2 State-Space Approaches 376 10.6 Exercises 379 References 380 11 Machine Learning for Audio 383; P. Bhattacharya, P. Nowak, U. Z¨olzer 11.1 Introduction 383 11.2 Unsupervised and Supervised Learning 384 11.3 Gradient Descent and Backpropagation 386 11.3.1 Feedforward Artificial Neural Network 386 11.3.2 Convolutional Neural Network 390 11.4 Applications 392 11.4.1 Parametric Filter Adaptation 392 11.4.2 Room Simulation 401 11.4.3 Audio Denoising 406 11.5 Exercises 412 References 413 Index 419
Source of Description Note:	Description based on print version record and CIP data provided by publisher; resource not viewed.