• 제목/요약/키워드: Noise source localization

검색결과 121건 처리시간 0.03초

회전하는 바퀴 주위의 유동소음원 (Source Localization of Induced Noise from a Rolling Wheel of Ground Vehicle)

  • 권오섭;장근정;이승배
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2002년도 학술대회지
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    • pp.759-762
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    • 2002
  • Automobile aeroacoustics Is a developing area of technology where experimental and theoretical tools are being continuously refined to understand, analyze and modify the noise-generating mechanisms in the vehicle flow. Main sources of ground vehicle exterior noise are the tires (tire/road interaction) and the unsteady flow field around the vehicle. In this study, the sound source localization of a rolling tire was applied to the measurement of radiated sound by using an acoustic mirror system. A possible flow pattern that develops is suggested based on detailed wind tunnel investigations with a rotating wheel in contact with a moving belt.

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머리전달함수를 이용한 로봇의 화자 위치 추정 (Detection of Speaker Position for Robot Using HRTF)

  • 황성목;박윤식;박영진
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.637-640
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    • 2005
  • We propose a sound source localization method using the Head-Related-Transfer-Function (HRTF) to be implemented in a given platform. HRTFs contain not only the information regarding proper time delays but also phase and magnitude distortions due to diffraction and scattering by the shading object. Therefore, a set of HRTFs for any given platform provides a substantial amount of information as to the whereabouts of the source. In this study, we introduce new phase criterion in order to find the sound source location in accordance with the HRTF database empirically obtained in an anechoic chamber with the given platform. Using this criterion, we analyze the estimation performance of the proposed method in a household environment.

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40 채널 SQUID 시스템을 이용한 뇌자도 측정 (MEG Measurement Using a 40-channel SQUID System)

  • 권혁찬;이용호;김진목;김기웅;박용기
    • Progress in Superconductivity
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    • 제4권1호
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    • pp.19-26
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    • 2002
  • We have earlier developed a 40-channel SQUID system. An important figure of merit of a MEG system is the localization error, within which the underlying current source can be localized. With this system, we investigated the localization error in terms of the standard deviation of the coordinates of the ECDs and the systematic error due to inadequate modeling. To do this, we made localization of single current dipoles from tangential components of auditory evoked fields. Equivalent current dipoles (ECD) at N1m peak were estimated based on a locally fitted spherical conductor model. In addition, we made skull phantom and simulation measurements to investigate the contribution of various errors to the localization error. It was found that the background noise was the main source of the errors that could explain the observed standard deviation. Further, the amount of systematic error, when modeling the head with a spherical conductor, was much less than the standard deviation due to the background noise. We also demonstrated the performance of the system by measuring the evoked fields to grammatical violation in sentence comprehension.

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도플러 효과를 기반으로한 내부 소음원의 3차원 위치 추정 (3D localization of internal noise source based on Doppler effect)

  • 배정호;성우제;이근화
    • 한국음향학회지
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    • 제35권4호
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    • pp.310-318
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    • 2016
  • 본 연구는 해상 운항체에서 발생하는 소음원의 위치를 3차원적으로 추정하는 방법에 대해 다루었다. 해상 운항체인 선박이나 잠수함의 내부에 존재하는 소음원과 같이 근접이 어려운 경우라도 상대적으로 이동한다면 외부의 수중청음기에 수신된 신호는 도플러 효과가 발생한다. 본 연구에서는 이동 물체에 의한 도플러 효과를 바탕으로 소음원의 3차원 위치 추정 알고리즘을 제안하였다. 해상 운항체의 알고 있는 위치에 추가의 음원을 설치하여 예상되는 도플러 중심의 범위와 최단 접근점의 범위를 점차 줄여가며 최소자승법을 통하여 내부 소음원의 위치를 추정하였다. 알고리즘을 통해 계산한 값과 이론값을 비교하여 효용성을 입증하였으며, 수치시험을 통해 고정된 두 개의 외부 수중청음기와 음원 역할을 하는 수중체에 고정시킨 한 개의 신호발생기로 도플러 효과를 기반으로한 소음원의 3차원 위치 추정이 가능함을 증명하였다.

웨이블렛 변환과 MUSIC 기법을 이용한 소음원 추적 (Noise Source Localization by Applying MUSIC with Wavelet Transformation)

  • 최태환;고병식;임종명
    • 한국자동차공학회논문집
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    • 제16권2호
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    • pp.18-28
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    • 2008
  • In inverse acoustic problem with nearfield sources, it is important to separate multiple acoustic sources and to measure the position of each target. This paper proposes a new algorithm by applying MUSIC(Multiple Signal Classification) to the outputs of discrete wavelet transformation with sub-band selection based on the entropy threshold, Some numerical experiments show that the proposed method can estimate the more precise positions than a conventional MUSIC algorithm under moderately correlated signal and relatively low signal-to-noise ratio case.