Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments (Record no. 76696)

000 -LEADER
fixed length control field 03761nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-658-25152-9
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214735.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190128s2019 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783658251529
-- 978-3-658-25152-9
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Grimm, Simon.
245 10 - TITLE STATEMENT
Title Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 127 p. 1 illus.
490 1# - SERIES STATEMENT
Series statement Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS),
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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.
520 ## - SUMMARY, ETC.
Summary, etc Simon 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-658-25152-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Wiesbaden :
-- Springer Fachmedien Wiesbaden :
-- Imprint: Springer Vieweg,
-- 2019.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
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-- Engineering mathematics.
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-- Engineering—Data processing.
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-- Computer networks .
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-- Electrical and Electronic Engineering.
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-- Mathematical and Computational Engineering Applications.
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-- Computer Communication Networks.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2661-8095
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-- ZDB-2-ENG
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