Fundamentals of Spherical Array Processing
Seiten
2015
|
2015
Springer Berlin (Verlag)
978-3-662-45663-7 (ISBN)
Springer Berlin (Verlag)
978-3-662-45663-7 (ISBN)
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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 to the measured sound field.
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 to the measured sound field.
Mathematical background.- Acoustical Background.-Sampling the Sphere.- Spherical array configurations.- Spherical Array Beamforming.- Optimal beam pattern design.- Beamforming with noise minimization.
| Erscheint lt. Verlag | 20.3.2015 |
|---|---|
| Reihe/Serie | Springer Topics in Signal Processing ; 8 |
| Zusatzinfo | X, 193 p. 76 illus., 71 illus. in color. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 447 g |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Linearly constrained minimum variance (LCMV) • Microphone Arrays • Minimum variance distortionless response (MVDR) • Optimal beamforming • Plane-wave decomposition • Rigid sphere array • Spatial sampling • Spherical array beamforming • Spherical array configurations • Spherical arrays • Spherical Fourier Transform • Spherical Harmonics • Spherical microphone arrays |
| ISBN-10 | 3-662-45663-X / 366245663X |
| ISBN-13 | 978-3-662-45663-7 / 9783662456637 |
| Zustand | Neuware |
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