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Fundamentals of spherical array proc...

Rafaely, Boaz.

Fundamentals of spherical array processing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fundamentals of spherical array processingby Boaz Rafaely.
作者:	Rafaely, Boaz.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xii, 193 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Signal processing.
電子資源:	https://doi.org/10.1007/978-3-319-99561-8
ISBN:	9783319995618$q(electronic bk.)

Fundamentals of spherical array processing
Rafaely, Boaz.

Fundamentals of spherical array processing[electronic resource] /by Boaz Rafaely. - 2nd ed. - Cham :Springer International Publishing :2019. - xii, 193 p. :ill., digital ;24 cm. - Springer topics in signal processing,v.161866-2609 ;. - 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, and was written for graduate students, researchers and engineers who work with spherical microphone arrays in a wide range of applications. The new edition includes additions and modifications, and references supplementary Matlab code to provide the reader with a straightforward start for own implementations. The book is also accompanied by a Matlab manual, which explains how to implement the examples and simulations presented in the book. 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. In turn, 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 highlight 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 those that achieve maximum directivity and maximum robustness are developed, along with the Dolph-Chebyshev beamformer. The final chapter discusses more advanced beamformers, such as MVDR (minimum variance distortionless response) and LCMV (linearly constrained minimum variance) types, which are tailored to the measured sound field.

ISBN: 9783319995618$q(electronic bk.)

Standard No.: 10.1007/978-3-319-99561-8doiSubjects--Topical Terms:

182382
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.3822

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