Modeling of Moving Sound Sources Based on Array Measurements (Record no. 3027854)

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control field https://library.oapen.org/handle/20.500.12657/56837
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220714203243.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number /doi.org/10.30819/4759
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.30819/4759
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041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
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Subject category code TNK
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072 #7 - SUBJECT CATEGORY CODE
Subject category code TB
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100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Meng, Fanyu
Relator code auth
9 (RLIN) 1590167
245 10 - TITLE STATEMENT
Title Modeling of Moving Sound Sources Based on Array Measurements
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Logos Verlag Berlin
Date of publication, distribution, etc 2018
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
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Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc When auralizing moving sound sources in Virtual Reality (VR) environments, the two main input parameters are the location and radiated signal of the source. An array measurement-based model is developed to characterize moving sound sources regarding the two parameters in this thesis. This model utilizes beamforming, i.e. delay and sum beamforming (DSB) and compressive beamforming (CB) to obtain the locations and signals of moving sound sources. A spiral and a pseudorandom microphone array are designed for DSB and CB, respectively, to yield good localization ability and meet the requirement of CB. The de-Dopplerization technique is incorporated in the time-domain DSB to address moving source problems. Time-domain transfer functions (TDTFs) are calculated in terms of the spatial locations within the steering window of the moving source. TDTFs then form the sensing matrix of CB, thus allowing CB to solve moving source problem. DSB and CB are further extended to localize moving sound sources, and the reconstructed signals from the beamforming outputs are investigated to obtain the source signals. Moreover, localization and signal reconstruction are evaluated through varying parameters in the beamforming procedures, i.e. steering position, steering window length and source speed for a moving periodic signal using DSB, and regularization parameter, signal to noise ratio (SNR), steering window length, source speed, array to source motion trajectory and mismatch for a moving engine signal using CB. The parameter studies show guidelines of parameter selection based on the given situations in this thesis for modeling moving source using beamforming. Both algorithms are able to reconstruct the moving signals in the given scenarios. Although CB outperforms DSB in terms of signal reconstruction under particular conditions, the localization abilities of the two algorithms are quite similar. The practicability of the model has been applied on pass-by measurements of a moving loudspeaker using the designed arrays, and the results can match the conclusions drawn above from simulations. Finally, a framework on how to apply the model for moving source auralization is proposed.
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546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Chemistry
Source of heading or term bicssc
9 (RLIN) 89845
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Building construction & materials
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9 (RLIN) 940757
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Technology: general issues
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9 (RLIN) 928609
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Science
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Chemistry
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Uncontrolled term Technology & Engineering
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Uncontrolled term Construction
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Technology & Engineering
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