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Fundamentals of Spherical Array Processing (Hardcover, 2nd ed. 2019)
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Fundamentals of Spherical Array Processing (Hardcover, 2nd ed. 2019)
Series: Springer Topics in Signal Processing, 16
Expected to ship within 12 - 17 working days
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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. Mathworks kindly distributes the
Matlab sources for this book on
https://www.mathworks.com/matlabcentral/fileexchange/68655-fundamentals-of-spherical-array-processing.
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