Fundamentals of spherical array processing / Boaz Rafaely.

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Fundamentals of spherical array processing / Boaz Rafaely.

Second edition.

9783319995618
3319995618
9783319995625 (print)
3319995626
9783319995601
331999560X
9783030076115 (print)
3030076113

https://doi.org/10.1007/978-3-319-99561-8
https://doi.org/10.1007/978-3-319-99

Cham, Switzerland : Springer, [2019]

English

1 online resource (201 pages).

10.1007/978-3-319-99561-8 doi
10.1007/978-3-319-99

TK5102.9 .R34 2019

621.38284

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.

Includes bibliographical references and index.

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Description based on print version record.

Springer topics in signal processing ; v. 16.

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