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020 _a9783319422114
_9978-3-319-42211-4
024 7 _a10.1007/978-3-319-42211-4
_2doi
050 4 _aTK5102.9
072 7 _aTJF
_2bicssc
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082 0 4 _a621.382
_223
100 1 _aJarrett, Daniel P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946009
245 1 0 _aTheory and Applications of Spherical Microphone Array Processing
_h[electronic resource] /
_cby Daniel P. Jarrett, Emanuël A.P. Habets, Patrick A. Naylor.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXVI, 187 p. 45 illus., 42 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Topics in Signal Processing,
_x1866-2617 ;
_v9
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 _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 0 _aSignal processing.
_94052
650 0 _aAcoustics.
_919841
650 0 _aAcoustical engineering.
_99499
650 1 4 _aSignal, Speech and Image Processing .
_931566
650 2 4 _aAcoustics.
_919841
650 2 4 _aEngineering Acoustics.
_931982
700 1 _aHabets, Emanuël A.P.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946010
700 1 _aNaylor, Patrick A.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_946011
710 2 _aSpringerLink (Online service)
_946012
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319422091
776 0 8 _iPrinted edition:
_z9783319422107
776 0 8 _iPrinted edition:
_z9783319825250
830 0 _aSpringer Topics in Signal Processing,
_x1866-2617 ;
_v9
_946013
856 4 0 _uhttps://doi.org/10.1007/978-3-319-42211-4
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77782
_d77782