000			03660nam a22005535i 4500
001			978-3-319-08954-6
003			DE-He213
005			20200421112234.0
007			cr nn 008mamaa
008			140725s2015 gw | s |||| 0|eng d
020			_a9783319089546 _9978-3-319-08954-6
024	7		_a10.1007/978-3-319-08954-6 _2doi
050		4	_aTK5102.9
050		4	_aTA1637-1638
050		4	_aTK7882.S65
072		7	_aTTBM _2bicssc
072		7	_aUYS _2bicssc
072		7	_aTEC008000 _2bisacsh
072		7	_aCOM073000 _2bisacsh
082	0	4	_a621.382 _223
100	1		_aHelwani, Karim. _eauthor.
245	1	0	_aAdaptive Identification of Acoustic Multichannel Systems Using Sparse Representations _h[electronic resource] / _cby Karim Helwani.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXIV, 113 p. 39 illus., 10 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		_aT-Labs Series in Telecommunication Services, _x2192-2810
505	0		_aIntroduction -- Fundamentals of Adaptive Filter Theory -- Spatio-Temporal Regularized Recursive Least Squares Algorithm -- Sparse Representation of Multichannel Acoustic Systems -- Unique System Identification from Projections -- Geometrical Constraints -- Acoustic Echo Suppression -- Conclusion.
520			_aThis book treats the topic of extending the adaptive filtering theory in the context of massive multichannel systems by taking into account a priori knowledge of the underlying system or signal. The starting point is exploiting the sparseness in acoustic multichannel system in order to solve the non-uniqueness problem with an efficient algorithm for adaptive filtering that does not require any modification of the loudspeaker signals. The book discusses in detail the derivation of general sparse representations of acoustic MIMO systems in signal or system dependent transform domains. Efficient adaptive filtering algorithms in the transform domains are presented and the relation between the signal- and the system-based sparse representations is emphasized. Furthermore, the book presents a novel approach to spatially preprocess the loudspeaker signals in a full-duplex communication system. The idea of the preprocessing is to prevent the echoes from being captured by the microphone array in order to support the AEC system. The preprocessing stage is given as an exemplarily application of a novel unified framework for the synthesis of sound figures. Finally, a multichannel system for the acoustic echo suppression is presented that can be used as a postprocessing stage for removing residual echoes. As first of its kind, it extracts the near-end signal from the microphone signal with a distortionless constraint and without requiring a double-talk detector.
650		0	_aEngineering.
650		0	_aInput-output equipment (Computers).
650		0	_aAcoustics.
650		0	_aElectrical engineering.
650	1	4	_aEngineering.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aInput/Output and Data Communications.
650	2	4	_aCommunications Engineering, Networks.
650	2	4	_aAcoustics.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319089539
830		0	_aT-Labs Series in Telecommunication Services, _x2192-2810
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-08954-6
912			_aZDB-2-ENG
942			_cEBK
999			_c58159 _d58159