000 04049nam a22005655i 4500
001 978-3-540-37631-6
003 DE-He213
005 20161121231121.0
007 cr nn 008mamaa
008 100301s2006 gw | s |||| 0|eng d
020 _a9783540376316
_9978-3-540-37631-6
024 7 _a10.1007/978-3-540-37631-6
_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 _aHuang, Yiteng.
_eauthor.
245 1 0 _aAcoustic MIMO Signal Processing
_h[electronic resource] /
_cby Yiteng Huang, Jacob Benesty, Jingdong Chen.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2006.
300 _aXIV, 379 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSignals and Communication Technology,
_x1860-4862
505 0 _aTheory -- Acoustic MIMO Systems -- Wiener Filter and Basic Adaptive Algorithms -- Sparse Adaptive Filters -- Frequency-Domain Adaptive Filters -- Blind Identification of Acoustic MIMO Systems -- Separation and Suppression of Co-Channel and Temporal Interference -- Applications -- Acoustic Echo Cancellation and Audio Bridging -- Time Delay Estimation and Acoustic Source Localization -- Speech Enhancement and Noise Reduction -- Source Separation and Speech Dereverberation.
520 _aAcoustic MIMO Signal Processing Yiteng (Arden) Huang Jacob Benesty Jingdong Chen Telecommunication systems and human-machine interfaces start employing multiple microphones and loudspeakers in order to make conversations and interactions more lifelike, hence more efficient. This development gives rise to a variety of acoustic signal processing problems under multiple-input multiple-output (MIMO) scenarios, encompassing distant speech acquisition, sound source localization and tracking, echo and noise control, source separation and speech dereverberation, and many others. The last decade has witnessed a growing interest in exploring these problems, but there has been little effort to develop a theory to have all these problems investigated in a unified framework. This unique book attempts to fill the gap. Acoustic MIMO Signal Processing is divided into two major parts - the theoretical and the practical. The authors begin by introducing an acoustic MIMO paradigm, establishing the fundamental of the field, and linking acoustic MIMO signal processing with the concepts of classical signal processing and communication theories in terms of system identification, equalization, and adaptive algorithms. In the second part of the book, a novel and penetrating analysis of aforementioned acoustic applications is carried out in the paradigm to reinforce the fundamental concepts of acoustic MIMO signal processing. Acoustic MIMO Signal Processing is a timely and important professional reference for researchers and practicing engineers from universities and a wide range of industries. It is also an excellent text for graduate students who are interested in this exciting field.
650 0 _aEngineering.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aElectrical engineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aCommunications Engineering, Networks.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aElectrical Engineering.
700 1 _aBenesty, Jacob.
_eauthor.
700 1 _aChen, Jingdong.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540376309
830 0 _aSignals and Communication Technology,
_x1860-4862
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-37631-6
912 _aZDB-2-ENG
999 _c508831
_d508831