Fundamentals of Spherical Array Processing
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Beschreibung
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.
Presents cutting-edge theory and algorithms for spherical microphone arrays, including implementation examples and simulations with Matlab
Relevant for a broad range of applications in audio and acoustics, like speech communication, music recording, room acoustics, acoustic holography, virtual acoustics and binaural sound reproduction
Also relevant for other areas such as image processing and geodesy
Presents cutting-edge theory and algorithms for spherical microphone arrays, including implementation examples and simulations with Matlab Relevant for a broad range of applications in audio and acoustics, including speech communication, music recording, room acoustics, acoustic holography, virtual acoustics, and binaural sound reproduction Is also relevant for other areas such as image processing and geodesy
Autor*in
Boaz Rafaely
Themen in »Fundamentals of Spherical Array Processing«
Linearly Constrained Minimum Variance (LCMV) Microphone Arrays Minimum Variance Distortionless Response (MVDR) Optimal Beamforming Plane-Wave Decomposition Rigid Sphere Array Spatial Sampling Spherical Fourier Transform Spherical Harmonics Spherical Array Beamforming Spherical Array Configurations Spherical Arrays Spherical Microphone Arrays Matlab Spherical Algorithm
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“The book is written mainly for graduate students and researchers in physical acoustics and engineering, although many parts would be suitable for advanced undergraduates.” (Edward S. Krebes, The Leading Edge, Vol. 38 (11), November, 2019)
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