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008			160831t20172017sz ob 001 0 eng d
020			_a331942209X
020			_a3319422111 _q(electronic bk.)
020			_a9783319422091
020			_a9783319422114 _q(electronic bk.)
020			_z9783319422091
035			_a(OCoLC)957557907 _z(OCoLC)960086645 _z(OCoLC)974649884 _z(OCoLC)1005810326
040			_aN$T _cN$T _dN$T _dGW5XE _dIDEBK _dYDX _dCOO _dOCLCF _dOCLCQ _dMERUC _dUAB _dUPM _dIOG _dESU _dOCLCA _dJBG _dIAD _dICW _dICN _dOTZ _dOCLCQ _dVT2 _dU3W _dES-MaUEC _bspa
050		4	_aTK6478 _b.J377 2017 EB
100	1		_aJarrett, Daniel P., _eautor
245	1	0	_aTheory and applications of spherical microphone array processing _cDaniel P. Jarrett, Emanuël A.P. Habets, Patrick A. Naylor.
264		1	_aCham [Switzerland] _bSpringer _c[2017]
264		4	_c2017
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringer topics in signal processing _vvolume 9
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas e índice
505	0		_aIntroduction -- Theoretical Preliminaries of Acoustics -- Spatial Sampling and Signal Transformation -- Spherical Array Acoustic Impulse Response Simulation -- Acoustic Parameter Estimation -- Signal-Independent Array Processing.
520	3		_aThis book presents the signal processing algorithms that have been developed to process the signals acquired by a spherical microphone array. Spherical microphone arrays can be used to capture the sound field in three dimensions and have received significant interest from researchers and audio engineers. Algorithms for spherical array processing are different to corresponding algorithms already known in the literature of linear and planar arrays because the spherical geometry can be exploited to great beneficial effect. The authors aim to advance the field of spherical array processing by helping those new to the field to study it efficiently and from a single source, as well as by offering a way for more experienced researchers and engineers to consolidate their understanding, adding either or both of breadth and depth. The level of the presentation corresponds to graduate studies at MSc and PhD level. This book begins with a presentation of some of the essential mathematical and physical theory relevant to spherical microphone arrays, and of an acoustic impulse response simulation method, which can be used to comprehensively evaluate spherical array processing algorithms in reverberant environments. The chapter on acoustic parameter estimation describes the way in which useful descriptions of acoustic scenes can be parameterized, and the signal processing algorithms that can be used to estimate the parameter values using spherical microphone arrays. Subsequent chapters exploit these parameters including in particular measures of direction-of-arrival and of diffuseness of a sound field. The array processing algorithms are then classified into two main classes, each described in a separate chapter. These are signal-dependent and signal-independent beamforming algorithms. Although signal-dependent beamforming algorithms are in theory able to provide better performance compared to the signal-independent algorithms, they are currently rarely used in practice. The main reason for this is that the statistical information required by these algorithms is difficult to estimate. In a subsequent chapter it is shown how the estimated acoustic parameters can be used in the design of signal-dependent beamforming algorithms. This final step closes, at least in part, the gap between theory and practice.
650		7	_aMicrófonos _2embne _0(OCoLC)fst01742655 _0 _9141718
700	1		_aHabets, Emanuël A. P., _eautor
700	1		_aNaylor, Patrick A., _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-42211-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017A
998			_b02/2018 _dz _e- _zSI
999			_c94531 _d94531 _x1