Fundamentals of Spherical Array Processing

Nonfiction, Science & Nature, Science, Physics, Acoustics & Sound, Technology, Electronics
Cover of the book Fundamentals of Spherical Array Processing by Boaz Rafaely, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Boaz Rafaely ISBN: 9783319995618
Publisher: Springer International Publishing Publication: September 27, 2018
Imprint: Springer Language: English
Author: Boaz Rafaely
ISBN: 9783319995618
Publisher: Springer International Publishing
Publication: September 27, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Preparing for Earthquakes: Lessons for India by Boaz Rafaely
Cover of the book Space Resource Utilization: A View from an Emerging Space Faring Nation by Boaz Rafaely
Cover of the book Basic Naval Architecture by Boaz Rafaely
Cover of the book Measurement of Quarkonium Polarization to Probe QCD at the LHC by Boaz Rafaely
Cover of the book Dynamic Systems Models by Boaz Rafaely
Cover of the book Ureteral Stone Management by Boaz Rafaely
Cover of the book Transnational, European, and National Labour Relations by Boaz Rafaely
Cover of the book French-Brazilian Geography by Boaz Rafaely
Cover of the book Temporal Bone CT and MRI Anatomy by Boaz Rafaely
Cover of the book Declarative Programming and Knowledge Management by Boaz Rafaely
Cover of the book Reliability Physics and Engineering by Boaz Rafaely
Cover of the book Postharvest Biology and Technology of Temperate Fruits by Boaz Rafaely
Cover of the book Raoul Bott: Collected Papers by Boaz Rafaely
Cover of the book Complex Systems and Social Practices in Energy Transitions by Boaz Rafaely
Cover of the book Music and Public Health by Boaz Rafaely
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy