• 제목/요약/키워드: Noise Separation

검색결과 312건 처리시간 0.035초

전력 유도 장애 시 통신 선로 케이블의 접지체와 유도원간의 이격거리에 의한 유도 잡음 영향 분석 (Analysis on the Effects of the Induced Noise with Change of the Separation Distance between Grounding Equipment at End of Telecommunication Line and the Inducting Facilities in Power Inducting Situation)

  • 최문환;이상무;조평동
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2007년도 학술대회
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    • pp.215-218
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    • 2007
  • In this paper, we have analyzed the effects from the change of separation distance between grounding equipment at end of telecommunication line and the inducting facilities in power inducting situation. In the result of measurement, we can see that as the separation distance between grounding equipment ant end of telecommunication line and the inducting facility become longer, the induced noise level and PIF level is decreased. From the another experiment results about the effect of changing the impedance size in both ends of telecommunication line, however, we already knew that as the ground impedance at either end of the telecommunication line become grower, the noise level is increased, and as the ground impedance at either end of the telecommunication line become smaller, the noise level is decreased. Hence we can not define the relationship exactly between separation distance from inducting facility to inducted facility and the induced noise level because when the grounding equipment is moved, its impedance size is changed too. In conclusion, changing the separation distance between grounding equipment at end of telecommunication line and the inducting facilities have not influence on the induced noise level.

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디젤 동차의 실내 소음 분석을 위한 음원 분리 기법 (Source Separation Technique for Analysis of Internal Noise of Diesel Multiple Unit)

  • 이화수;김종년
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2005년도 추계학술대회 논문집
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    • pp.789-792
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    • 2005
  • The dominant noise sources of Diesel Multiple Units are powerpack, which is composed of engine, transmission and cooling system, noise and wheel-rail rolling noise. The interior noise of a running vehicle is determined by structure-borne noise and air-borne noise from these noise sources. The contributions of interior noise from each noise source are calculated by air-borne transfer functions and structure-borne transfer functions of noise sources. In this paper, source separation technique is proposed to determine these transfer functions from the results of stationary and running tests of existing vehicle. With this technique, it is possible to get hold of contributions of interior noise from .noise sources of running vehicle. This source separation technique makes it possible to take efficient measures for reduction of interior noise at the early car-development stage.

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CASA 기반 음성분리 성능 향상을 위한 형태 분석 기술의 응용 (Application of Shape Analysis Techniques for Improved CASA-Based Speech Separation)

  • 이윤경;권오욱
    • 대한음성학회지:말소리
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    • 제65호
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    • pp.153-168
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    • 2008
  • We propose a new method to apply shape analysis techniques to a computational auditory scene analysis (CASA)-based speech separation system. The conventional CASA-based speech separation system extracts speech signals from a mixture of speech and noise signals. In the proposed method, we complement the missing speech signals by applying the shape analysis techniques such as labelling and distance function. In the speech separation experiment, the proposed method improves signal-to-noise ratio by 6.6 dB. When the proposed method is used as a front-end of speech recognizers, it improves recognition accuracy by 22% for the speech-shaped stationary noise condition and 7.2% for the two-talker noise condition at the target-to-masker ratio than or equal to -3 dB.

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Blind 신호원 분류를 갖는 능동 소음 제거기 (An Active Noise Canceller with Blind Source Separation)

  • 손준일;이민호
    • 한국음향학회지
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    • 제18권6호
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    • pp.3-8
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    • 1999
  • 본 연구에서는 신호원에 대한 사전 정보 없이 혼합된 신호로부터 잡음 신호만을 선택적으로 제거할 수 있는 새로운 형태의 능동 소음 제거기(Active noise canceller)를 제안한다. 음성신호와 같은 동특성을 갖는 신호의 분리에 효과적으로 사용되는 동적 재귀 신경망(Dynamic recurrent neural network)을 원하는 신호원에 섞인 잡음신호를 분리하여 선택적으로 제거하기 위한 능동 소음 제거기의 전처리기로 이용한다. 능동 소음 제거기는 분리된 잡음 신호에 대한 역위상 신호를 적응적으로 발생함으로써 특정 위치에서 원하는 신호만을 선택적으로 남길 수 있도록 한다. 컴퓨터 시뮬레이션을 통하여 제안된 시스템이 선택적인 소음제거에 효과적임을 보인다.

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비정상 층류 경계층 박리에 의한 유동 소음 (Aeroacoustic Noise Generation in Unsteady Laminar Boundary-layer Separation)

  • 최효원;문영준
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 추계학술대회논문집B
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    • pp.300-305
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    • 2001
  • The unsteady flow structure and the related noise generation, which are caused by the separation of a two-dimensional, incompressible, laminar boundary-layer on the flat plate under the influence of local adverse pressure gradient, are numerically examined. The characteristic lines of the wall pressure are examined to understand the unsteady behavior of vortex shedding near the reattachment point of the separation bubble. Also, the generation and propagation of the vortex-induced noise in the separated boundary-layer are calculated by the method of computational aero-acoustics (CAA), and the effects of Reynolds number, Mach number and the strength of the adverse pressure gradient on the unsteady flow and noise characteristics are examined.

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케스케이드 날개 후단소음 특성에 관한 연구 (A Study on Trailing Edge Noise from a Blade Cascade in a Uniform Flow)

  • J. M. Son;Kim, H. K.;Lee, S.
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문초록집
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    • pp.366.1-366
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    • 2002
  • It is addressed that the turbulent broadband sound power from a sirocco fan can be modeled by the trailing edge noise. The trailing edge noise is usually influenced by inflow turbulence, separation, and boundary layer on the blade. The design parameters such as solidity(c/s) and stagger angle are specified to predict performance and noise level because the separation and slip velocity are strong1y affected by them along with the flow coefficient. (omitted)

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Active Noise Cancellation using a Teacher Forced BSS Learning Algorithm

  • 손준일;이민호;이왕하
    • 센서학회지
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    • 제13권3호
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    • pp.224-229
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    • 2004
  • In this paper, we propose a new Active Noise Control (ANC) system using a teacher forced Blind Source Separation (BSS) algorithm. The Blind Source Separation based on the Independent Component Analysis (ICA) separates the desired sound signal from the unwanted noise signal. In the proposed system, the BSS algorithm is used as a preprocessor of ANC system. Also, we develop a teacher forced BSS learning algorithm to enhance the performance of BSS. The teacher signal is obtained from the output signal of the ANC system. Computer experimental results show that the proposed ANC system in conjunction with the BSS algorithm effectively cancels only the ship engine noise signal from the linear and convolved mixtures with human voice.

컨볼루션 혼합신호의 암묵 잡음분리방법 (Blind Noise Separation Method of Convolutive Mixed Signals)

  • 이행우
    • 한국전자통신학회논문지
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    • 제17권3호
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    • pp.409-416
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    • 2022
  • 본 논문은 시간지연 컨볼루션 혼합신호의 암묵잡음분리방법에 관한 것이다. 폐쇄된 공간에서 음향신호의 혼합모델은 다채널이기 때문에 convolutive 암묵신호분리방법을 적용하며 두 마이크 입력신호의 시간지연된 데이터 샘플들을 사용한다. 이 신호분리방법은 분리계수를 직접 계산하는 것이 아니라 역방향 모델을 이용하여 혼합계수를 산출하며, 계수의 갱신이 2차 통계적 성질에 기반한 반복적인 계산에 의해 이루어진다. 제안한 암묵신호분리의 성능을 검증하기 위해 많은 시뮬레이션을 수행하였다. 모의실험 결과, 이 방법을 사용한 잡음분리는 컨볼루션혼합에 상관없이 안전하게 동작하고, 일반적인 적응 FIR(Finite Impulse Response) 필터구조에 비해 PESQ(Perceptual Evaluation of Speech Quality)가 0.3점 개선되는 것으로 나타났다.

디젤 엔진소음 (1) ; 실험적 소음 분리기법 (Experimental Noise Separation of a Diesel Engine)

  • 강종민;안기환;박해성;조우흠
    • 소음진동
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    • 제7권5호
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    • pp.757-764
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    • 1997
  • The well-developed noise separatrion techniques are applied to the V8 RG8 Diesel engine for the engine noise reduction of a commercial vehicle. For various loads and engine RPM's, the contribution of the combustion oriented noise and the mechanically induced noise was calculated under the small variations of the injection timing. For the given Diesel engine the mechanical noise is dominant for low rpm, and the contribution of the combustion noise becomes greater as the rpm increases. The combustion noise is dominant around 2kHz range or under 50% loading condition.

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독립성분분석법에 의한 잡음첨가신호의 분석성능비교 (Comparison of Analysis Performance of Additive Noise Signals by Independent Component Analysis)

  • 조용현;박용수
    • 한국지능시스템학회논문지
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    • 제15권3호
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    • pp.294-299
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    • 2005
  • 본 논문에서는 선형적으로 흔합된 영상신호에 잡음이 첨가된 영상을 대상으로 뉴우턴법과 할선법의 고정점 알고리즘 독립성분분석을 적용하여 분리성능을 비교${\cdot}$검토하였다. 여기서 뉴우턴법의 고정점 알고리즘은 기울기 변화에 따른 속성을 이용하며, 할선법의 고정점 알고리즘은 접선의 변화를 이용하는 속성을 가진다. 실험에 이용된 신호는 2개의 $512\times512$ 픽셀 2차원 영상이며, 가우스 분포와 라플라스 분포의 잡음을 각각 이용하였다. 실험 결과, 원 영상을 분리하는 시간에서는 뉴우턴법의 고정점 알고리즘 독립성분분석이 할선법의 고정점 알고리즘 독립성분분석보다 보다 빠르며, 복원성능에서는 할선법의 고정점 알고리즘 독립성분분석이 더욱 우수한 특성이 있음을 알 수 있었다. 한편, 잡음이 많이 첨가될수록 뉴우턴법의 FP-ICA와 할선법의 FP-ICA사이의 추출속도와 분리성능은 더욱 더 큰 차이가 있음도 알 수 있었다.