000			02945nam a22003855i 4500
999			_c103951 _d103951 _x1
001			103951
003			DE-He213
005			20230102113153.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			150218s2015 gw | s |||| 0|eng d
020			_a9783662456644
024	7		_a10.1007/978-3-662-45664-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 2015 EB
100	1		_aRafaely, Boaz _eautor _9669752
245	1	0	_aFundamentals of Spherical Array Processing _cby Boaz Rafaely.
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2015
300			_a1 recurso en línea (X, 193 páginas 76 ilustraciones, 71 ilustraciones a color.)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringer Topics in Signal Processing _x1866-2609 ; _v8
490	0		_aEngineering (Springer-11647)
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. 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.
988			_aEBSPRINGER_2018
650		7	_aProceso de señales _2embne _9150608
650		7	_aMatemáticas _2embne _9405008
776	0	8	_iEdición impresa: _z9783662456651
776	0	8	_iEdición impresa: _z9783662456637
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-45664-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2019 _dz _ek _feng _ggw _h0