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Theory and applications of spherical...

Jarrett, Daniel P.

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Theory and applications of spherical microphone array processing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Theory and applications of spherical microphone array processing/ by Daniel P. Jarrett, Emanuel A.P. Habets, Patrick A. Naylor.
Author:	Jarrett, Daniel P.
other author:	Habets, Emanuel A.P.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	xvi, 187 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Theoretical Preliminaries of Acoustics -- Spatial Sampling and Signal Transformation -- Spherical Array Acoustic Impulse Response Simulation -- Acoustic Parameter Estimation -- Signal-Independent Array Processing.
Contained By:	Springer eBooks
Subject:	Microphone arrays. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-42211-4
ISBN:	9783319422114

Theory and applications of spherical microphone array processing
Jarrett, Daniel P.

Theory and applications of spherical microphone array processing[electronic resource] /by Daniel P. Jarrett, Emanuel A.P. Habets, Patrick A. Naylor. - Cham :Springer International Publishing :2017. - xvi, 187 p. :ill., digital ;24 cm. - Springer topics in signal processing,v.91866-2609 ;. - Springer topics in signal processing ;v.9..

Introduction -- Theoretical Preliminaries of Acoustics -- Spatial Sampling and Signal Transformation -- Spherical Array Acoustic Impulse Response Simulation -- Acoustic Parameter Estimation -- Signal-Independent Array Processing.

This book presents the signal processing algorithms that have been developed to process the signals acquired by a spherical microphone array. Spherical microphone arrays can be used to capture the sound field in three dimensions and have received significant interest from researchers and audio engineers. Algorithms for spherical array processing are different to corresponding algorithms already known in the literature of linear and planar arrays because the spherical geometry can be exploited to great beneficial effect. The authors aim to advance the field of spherical array processing by helping those new to the field to study it efficiently and from a single source, as well as by offering a way for more experienced researchers and engineers to consolidate their understanding, adding either or both of breadth and depth. The level of the presentation corresponds to graduate studies at MSc and PhD level. This book begins with a presentation of some of the essential mathematical and physical theory relevant to spherical microphone arrays, and of an acoustic impulse response simulation method, which can be used to comprehensively evaluate spherical array processing algorithms in reverberant environments. The chapter on acoustic parameter estimation describes the way in which useful descriptions of acoustic scenes can be parameterized, and the signal processing algorithms that can be used to estimate the parameter values using spherical microphone arrays. Subsequent chapters exploit these parameters including in particular measures of direction-of-arrival and of diffuseness of a sound field. The array processing algorithms are then classified into two main classes, each described in a separate chapter. These are signal-dependent and signal-independent beamforming algorithms. Although signal-dependent beamforming algorithms are in theory able to provide better performance compared to the signal-independent algorithms, they are currently rarely used in practice. The main reason for this is that the statistical information required by these algorithms is difficult to estimate. In a subsequent chapter it is shown how the estimated acoustic parameters can be used in the design of signal-dependent beamforming algorithms. This final step closes, at least in part, the gap between theory and practice.

ISBN: 9783319422114

Standard No.: 10.1007/978-3-319-42211-4doiSubjects--Topical Terms:

2134094
Microphone arrays.

LC Class. No.: TK6478

Dewey Class. No.: 621.38284

Theory and applications of spherical microphone array processing
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100 1 $a Jarrett, Daniel P. $3 3216629
245 1 0 $a Theory and applications of spherical microphone array processing $h [electronic resource] / $c by Daniel P. Jarrett, Emanuel A.P. Habets, Patrick A. Naylor.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvi, 187 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer topics in signal processing, $x 1866-2609 ; $v v.9
505 0 $a Introduction -- Theoretical Preliminaries of Acoustics -- Spatial Sampling and Signal Transformation -- Spherical Array Acoustic Impulse Response Simulation -- Acoustic Parameter Estimation -- Signal-Independent Array Processing.
520 $a This book presents the signal processing algorithms that have been developed to process the signals acquired by a spherical microphone array. Spherical microphone arrays can be used to capture the sound field in three dimensions and have received significant interest from researchers and audio engineers. Algorithms for spherical array processing are different to corresponding algorithms already known in the literature of linear and planar arrays because the spherical geometry can be exploited to great beneficial effect. The authors aim to advance the field of spherical array processing by helping those new to the field to study it efficiently and from a single source, as well as by offering a way for more experienced researchers and engineers to consolidate their understanding, adding either or both of breadth and depth. The level of the presentation corresponds to graduate studies at MSc and PhD level. This book begins with a presentation of some of the essential mathematical and physical theory relevant to spherical microphone arrays, and of an acoustic impulse response simulation method, which can be used to comprehensively evaluate spherical array processing algorithms in reverberant environments. The chapter on acoustic parameter estimation describes the way in which useful descriptions of acoustic scenes can be parameterized, and the signal processing algorithms that can be used to estimate the parameter values using spherical microphone arrays. Subsequent chapters exploit these parameters including in particular measures of direction-of-arrival and of diffuseness of a sound field. The array processing algorithms are then classified into two main classes, each described in a separate chapter. These are signal-dependent and signal-independent beamforming algorithms. Although signal-dependent beamforming algorithms are in theory able to provide better performance compared to the signal-independent algorithms, they are currently rarely used in practice. The main reason for this is that the statistical information required by these algorithms is difficult to estimate. In a subsequent chapter it is shown how the estimated acoustic parameters can be used in the design of signal-dependent beamforming algorithms. This final step closes, at least in part, the gap between theory and practice.
650 0 $a Microphone arrays. $3 2134094
650 0 $a Speech processing systems. $3 590570
650 0 $a Spherical data. $3 668236
650 0 $a Signal processing. $3 533904
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Acoustics. $3 879105
650 2 4 $a Engineering Acoustics. $3 1533220
650 1 4 $a Engineering. $3 586835
700 1 $a Habets, Emanuel A.P. $3 1565574
700 1 $a Naylor, Patrick A. $3 1245146
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Springer topics in signal processing ; $v v.9. $3 3216630
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-42211-4
950 $a Engineering (Springer-11647)