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Fundamentals of spherical array processing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of spherical array processing/ by Boaz Rafaely.
Author:	Rafaely, Boaz.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	x, 193 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Signal processing. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-45664-4
ISBN:	9783662456644 (electronic bk.)

Fundamentals of spherical array processing
Rafaely, Boaz.

Fundamentals of spherical array processing[electronic resource] /by Boaz Rafaely. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - x, 193 p. :ill., digital ;24 cm. - Springer topics in signal processing,v.81866-2609 ;. - Springer topics in signal processing ;v.10..

Mathematical background -- Acoustical Background.-Sampling the Sphere -- Spherical array configurations -- Spherical Array Beamforming -- Optimal beam pattern design -- Beamforming with noise minimization.

This book provides a comprehensive introduction to the theory and practice of spherical microphone arrays. It is written for graduate students, researchers and engineers who work with spherical microphone arrays in a wide range of applications. The first two chapters provide the reader with the necessary mathematical and physical background, including an introduction to the spherical Fourier transform and the formulation of plane-wave sound fields in the spherical harmonic domain. The third chapter covers the theory of spatial sampling, employed when selecting the positions of microphones to sample sound pressure functions in space. Subsequent chapters present various spherical array configurations, including the popular rigid-sphere-based configuration. Beamforming (spatial filtering) in the spherical harmonics domain, including axis-symmetric beamforming, and the performance measures of directivity index and white noise gain are introduced, and a range of optimal beamformers for spherical arrays, including beamformers that achieve maximum directivity and maximum robustness, and the Dolph-Chebyshev beamformer are developed. The final chapter discusses more advanced beamformers, such as MVDR and LCMV, which are tailored measured sound field.

ISBN: 9783662456644 (electronic bk.)

Standard No.: 10.1007/978-3-662-45664-4doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

Fundamentals of spherical array processing
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245 1 0 $a Fundamentals of spherical array processing $h [electronic resource] / $c by Boaz Rafaely.
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505 0 $a Mathematical background -- Acoustical Background.-Sampling the Sphere -- Spherical array configurations -- Spherical Array Beamforming -- Optimal beam pattern design -- Beamforming with noise minimization.
520 $a This book provides a comprehensive introduction to the theory and practice of spherical microphone arrays. It is written for graduate students, researchers and engineers who work with spherical microphone arrays in a wide range of applications. The first two chapters provide the reader with the necessary mathematical and physical background, including an introduction to the spherical Fourier transform and the formulation of plane-wave sound fields in the spherical harmonic domain. The third chapter covers the theory of spatial sampling, employed when selecting the positions of microphones to sample sound pressure functions in space. Subsequent chapters present various spherical array configurations, including the popular rigid-sphere-based configuration. Beamforming (spatial filtering) in the spherical harmonics domain, including axis-symmetric beamforming, and the performance measures of directivity index and white noise gain are introduced, and a range of optimal beamformers for spherical arrays, including beamformers that achieve maximum directivity and maximum robustness, and the Dolph-Chebyshev beamformer are developed. The final chapter discusses more advanced beamformers, such as MVDR and LCMV, which are tailored measured sound field.
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