000			03529nam a22004335i 4500
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
710	2		_aSpringerLink (Online service) _9106996
999			_c110737 _d110737 _x1
001			110737
003			ES-MaUEC
005			20230102113435.0
008			180927s2019 gw a o |||| 0|eng d
020			_a9783319995618
024	7		_a10.1007/978-3-319-99561-8 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTK5102.9 _b2019 EB
100	1		_aRafaely, Boaz _eautor _9669752
245	1	0	_aFundamentals of Spherical Array Processing _cBoaz Rafaely
250			_aSecond edition
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XII, 193 páginas) _b76 ilustraciones, 27 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aSpringer Topics in Signal Processing _x1866-2609 _v16
505	0		_aMathematical background -- Acoustical Background.-Sampling the Sphere -- Spherical array configurations -- Spherical Array Beamforming -- Optimal beam pattern design -- Beamforming with noise minimization.
520	3		_aThis 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.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _aProceso de señales _9150608
650		7	_2embne _aMatemáticas _9405008
776	0	8	_iPrinted edition: _z9783030076115
776	0	8	_iPrinted edition: _z9783319995601
776	0	8	_iPrinted edition: _z9783319995625
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-99561-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI