000 03761nam a22005415i 4500
001 978-3-658-25152-9
003 DE-He213
005 20220801214735.0
007 cr nn 008mamaa
008 190128s2019 gw | s |||| 0|eng d
020 _a9783658251529
_9978-3-658-25152-9
024 7 _a10.1007/978-3-658-25152-9
_2doi
050 4 _aTK1-9971
072 7 _aTHR
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTHR
_2thema
082 0 4 _a621.3
_223
100 1 _aGrimm, Simon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_940165
245 1 0 _aDirectivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments
_h[electronic resource] /
_cby Simon Grimm.
250 _a1st ed. 2019.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2019.
300 _aXI, 127 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSchriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS),
_x2661-8095
505 0 _aDirectivity Based Reference for the Generalized Multichannel Wiener Filter -- Reference for the Binaural Multichannel Wiener Filter -- Wind Noise Reduction for a Closely Spaced Microphone Array -- Background Noise Simulation based on MIMO Equalization.
520 _aSimon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation. The Content Directivity Based Reference for the Generalized Multichannel Wiener Filter Reference for the Binaural Multichannel Wiener Filter Wind Noise Reduction for a Closely Spaced Microphone Array Background Noise Simulation based on MIMO Equalization The Target Groups Lecturers and Students in the field of Speech Signal Processing Practitioners of Speech Signal Processing and Noise Reduction The Author Simon Grimm was a research assistant at the Institute of System Dynamics at the HTWG Konstanz, Germany, from October 2014 to March 2018. During his research period, he was working in the area of speech signal processing for multichannel microphone arrangements. He finished his Ph.D. in June 2018. Currently he is employed as a signal processing engineer at a German audio equipment manufacturer.
650 0 _aElectrical engineering.
_940166
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 0 _aComputer networks .
_931572
650 1 4 _aElectrical and Electronic Engineering.
_940167
650 2 4 _aMathematical and Computational Engineering Applications.
_931559
650 2 4 _aComputer Communication Networks.
_940168
710 2 _aSpringerLink (Online service)
_940169
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783658251512
776 0 8 _iPrinted edition:
_z9783658251536
830 0 _aSchriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS),
_x2661-8095
_940170
856 4 0 _uhttps://doi.org/10.1007/978-3-658-25152-9
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76696
_d76696