Parametric time-frequency domain spatial audio

Pulkki, Ville, (editor.). Delikaris-Manias, Symeon, (editor.). Politis, Archontis, (editor.).

Summary: "A comprehensive guide that addresses the theory and practice of spatial audio This book provides readers with the principles and best practices in spatial audio signal processing. It describes how sound fields and their perceptual attributes are captured and analyzed within the time-frequency domain, how essential representation parameters are coded, and how such signals are efficiently reproduced for practical applications. The book is split into four parts starting with an overview of the fundamentals. It then goes on to explain the reproduction of spatial sound before offering an examination of signal-dependent spatial filtering. The book finishes with coverage of both current and future applications and the direction that spatial audio research is heading in. Parametric Time-frequency Domain Spatial Audio focuses on applications in entertainment audio, including music, home cinema, and gamingcovering the capturing and reproduction of spatial sound as well as its generation, transduction, representation, transmission, and perception. This book will teach readers the tools needed for such processing, and provides an overview to existing research. It also shows recent up-to-date projects and commercial applications built on top of the systems. Provides an in-depth presentation of the principles, past developments, state-of-the-art methods, and future research directions of spatial audio technologies Includes contributions from leading researchers in the field Offers MATLAB codes with selected chapters An advanced book aimed at readers who are capable of digesting mathematical expressions about digital signal processing and sound field analysis, Parametric Time-frequency Domain Spatial Audio is best suited for researchers in academia and in the audio industry"--

Record details

ISBN: 9781119252610
ISBN: 111925261X
ISBN: 1119252598
ISBN: 9781119252597
ISBN: 9781119252597
Physical Description: remote
1 online resource (1 volume) : illustrations
Publisher: Hoboken, NJ : John Wiley & Sons, Inc., [2018]
Copyright: ©2018

Content descriptions

Bibliography, etc. Note:	Includes bibliographical references.
Formatted Contents Note:	List of Contributors xiii -- Preface xv -- About the Companion Website xix -- Part I Analysis and Synthesis of Spatial Sound 1 -- TimeFrequency Processing: Methods and Tools 3 /Juha Vilkamo and Tom Backstrom -- 1.1 Introduction 3 -- 1.2 TimeFrequency Processing 4 -- 1.2.1 Basic Structure 4 -- 1.2.2 Uniform Filter Banks 5 -- 1.2.3 Prototype Filters and Modulation 6 -- 1.2.4 A Robust Complex-Modulated Filter Bank, and Comparison with STFT 8 -- 1.2.5 Overlap-Add and Windowing 12 -- 1.2.6 Example Implementation of a Robust Filter Bank in Matlab 13 -- 1.2.7 Cascaded Filters 15 -- 1.3 Processing of Spatial Audio 16 -- 1.3.1 Stochastic Estimates 17 -- 1.3.2 Decorrelation 18 -- 1.3.3 Optimal and Generalized Solution for Spatial Sound Processing Using Covariance Matrices 19 -- References 23 -- 2 Spatial Decomposition by Spherical Array Processing 25 /David Lou Alon and Boaz Rafaely -- 2.1 Introduction 25 -- 2.2 Sound Field Measurement by a Spherical Array 26 -- 2.3 Array Processing and Plane-Wave Decomposition 26 -- 2.4 Sensitivity to Noise and Standard Regularization Methods 29 -- 2.5 Optimal Noise-Robust Design 32 -- 2.5.1 PWD Estimation Error Measure 32 -- 2.5.2 PWD Error Minimization 34 -- 2.5.3 R-PWD Simulation Study 35 -- 2.6 Spatial Aliasing and High Frequency Performance Limit 37 -- 2.7 High Frequency Bandwidth Extension by Aliasing Cancellation 39 -- 2.7.1 Spatial Aliasing Error 39 -- 2.7.2 AC-PWD Simulation Study 40 -- 2.8 High Performance Broadband PWD Example 42 -- 2.8.1 Broadband Measurement Model 42 -- 2.8.2 Minimizing Broadband PWD Error 42 -- 2.8.3 BB-PWD Simulation Study 44 -- 2.9 Summary 45 -- 2.10 Acknowledgment 46 -- References 46 -- 3 Sound Field Analysis Using Sparse Recovery 49 /Craig T. Jin, Nicolas Epain, and Tahereh Noohi -- 3.1 Introduction 49 -- 3.2 The Plane-Wave Decomposition Problem 50 -- 3.2.1 Sparse Plane-Wave Decomposition 51 -- 3.2.2 The Iteratively Reweighted Least-Squares Algorithm 51 -- 3.3 Bayesian Approach to Plane-Wave Decomposition 53.
Source of Description Note:	Print version record.