• 제목/요약/키워드: Multiple Noise

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다중-레퍼런스/다중-출력 FXLMS 알고리즘에 의한 UPS 팬 소음저감 특성해석 (Characteristin Analysis of UPS Fan Noise Reduction by Multiple-Referedce/Multiple-Output FXLMS Algorithm)

  • 이승요;조준석;최규하
    • 전력전자학회논문지
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    • 제4권6호
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    • pp.589-600
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    • 1999
  • 사무실에서 사용되는 소용량 무정전진원 장치(UPS : Uninterruptible Power Supply)는 대부분의 소음이 냉각팬을 통하여 발생되고 있는데, 이와 같이 장치의 여러 방향으로 방사되는 소음의 능동적 소음제어를 위해서는 FXLMS(Filtered-x LMS) 알고리즘에 기초를 둔 다중채널 방식의 FXLMS(multiple-channel FXLMS) 알고리즘의 사용이 적당하다. 본 논문에서는 사무실에서 주로 사용되는 소용량 UPS의 소음 발생 특성을 분석하고 다중채널 방식 MRMO(Multiple-Reference/Multiple-Output) FXLMS 알고리즘을 적용하여 방사상으로 전파되는 UPS의 소음을 저감시키기 위한 능동 소음 제어를 수행하고 이의 소음저감 특성을 고찰한다.

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공동주택 복합 생활소음의 통합 평가등급 (A Combined Rating System for Multiple Noises in Residential Buildings)

  • 류종관;전진용
    • 한국소음진동공학회논문집
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    • 제16권10호
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    • pp.1005-1013
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    • 2006
  • A survey and auditory experiment on multiple residential noises such as floor impact, airborne, bathroom, drainage and traffic noises were conducted to develop a combined rating system and to establish criteria for multiple residential noises. Subjective reactions such as annoyance, activity disturbance, sleep disturbance, and satisfaction to overall noise environment and each residential noise were recorded. The effect of individual noise perception on the evaluation of the overall noise environment was also investigated. The survey results showed that satisfaction for floor impact noise most greatly affects the overall satisfaction for overall noise environment and annoyance most greatly affects the satisfaction for individual noise sources. Auditory experiments were undertaken to determine the percent satisfaction for individual noise levels. Result of auditory experiment showed that the noise level corresponding to 40 % satisfaction is 49 dB $(L_{i,Fmax,AW})$ for floor impact and is about 40 dB(A) for airborne, drainage and traffic noise. From the results of the survey and the auditory experiments, an equation for predicting the overall satisfaction for multiple noises was developed and a classification of multiple residential noises was proposed.

노면가진소음의 전달경로 파악;다중기여도함수 및 연결부위의 상대가속도 이용 (Transfer Path Identification of Road Noise;Using Multiple Coherence Function and Relative Acceleration)

  • 김영기;배병국;김양한;김광준;김명규
    • 한국자동차공학회논문집
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    • 제5권4호
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    • pp.84-92
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    • 1997
  • Among the various sources of vehicle interior noise, this paper concerns the road induced noise ; the identification of its transfer path by using experimental method. Multiple input and single output model is taken as a noise generation model. Because it is impossible to measure the road imput forces directly, the acceleration signals are measured on four axle;three directions for each point. By considering the cross correlations of input signals, four uncorrelated source groups are taken. Multiple coherence function is employed to investigate the contribution of each group. In addtion, to identify the detailed path through the suspension systems, the contributions of all possible paths are ranked by using the coherence functions between interior noise and the relative accelerations of connections such as bushings and mountings. Measurements are performed with passenger vehicle traveling on concrete and asphalt roads at 60㎞/h.

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도로교통소음과 철도소음 복합노출지역에서의 성가심 반응 (Study on the Annoyance Response in the Area Exposed by Road Traffic Noise and Railway Noise)

  • 고준희;장서일;손진희;이건
    • 한국소음진동공학회논문집
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    • 제20권2호
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    • pp.172-178
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    • 2010
  • The multiple regression analysis and path analysis in each dominant area of noise source are conducted to analyze the relationship between dependent variables like annoyance and independent ones such as noise and non-noise factors. The multiple regression analysis shows that impact of noise factors is the highest to annoyance in dominant areas of road traffic and railway noise. Meanwhile, impact of non-noise factors such as sensitivity and satisfaction of environment on annoyance is also high in these areas. The path analysis result for multivariate analysis between various independent and dependent variables is similar to that of the multiple regression analysis. However, noise factor is the greatest factor influent on annoyance in the dominant areas of the combined noise, and relationship between annoyance and sensitivity is the highest in combined area exposed to road traffic noise and railway noise.

톤간섭 및 다중간섭하에서 제반 디지탈 변조신호의 오율특성 비교 (A Comparison of the Error Rate Performances of Various Digitally Modulated Signals in the Environment of Tone/Multiple Interferer)

  • 공병옥;조성준
    • 한국통신학회논문지
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    • 제15권10호
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    • pp.797-810
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    • 1990
  • The error rate equations of digitally modulated signals transmitted through the Gaussian noise and tone multiple interference channel have been derived. Using the derived equations of error probabilities in the environments of Gaussian noise tone interferer and Gaussian noise multiple interferer, the error rate performances of various digitally modulated signals have been evaluated, and compared in graphs as a function of average carrier to tone interferer power ratio(CIR), average carrier to multiple interferer power ratio(CIT) and the average carrer-to-Gaussian noise powr ratio(CIR). In this paper, the modulation schemes such as amplitude shift keying (ASK), phase shift keying(PSK), frequency shift keying(FSK), minimum shift keying(MSK), quadrature amplitud modulation(QAM) and amplitude phase shift keying(APK) have been selected for the study of performance comparison. The results of comparison show us that, in low bits/sec/Hz, PSK is superior to the other schemes, but in high bits/sec/Hz, mixed multi ary type is better than single multi ary type. And in strong noise evironment, the multiple interferer has much influence than tone interferer, however, in low noise environment. the mojor error factor is tone interferer. But tone interference effect nearly disappears over specified CIR level about 20[dB]. And the modulation schemes using amplitude are heavily influenced by multiple interference.

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복합소음 공간의 Soundscape에 대한 사운드 마스킹의 효과 (Effects of sound-masking on the soundscape of urban public spaces with multiple noises)

  • 정충일;유진;이평직;전진용
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.268-271
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    • 2008
  • A sound-masking technique was applied to the urban public spaces with multiple noises in order to reduce the annoyance of the construction and traffic noise. In addition, the effects of masking system were investigated in order to improve the soundscape. In several urban spaces, building construction and nearby road traffic noise were recorded using a head and torso simulator and sound quality (SQ) system which specifies the spectral and temporal aspects of the noises. The sound-masking system which consists of the distributed speakers and control devices was applied to the boundaries of the construction sites. Synthesized masking sounds were produced with consideration of SQ characteristics of the multiple noise. Subjective evaluations on the soundscape were conducted to verify effectiveness of the system under the conditions with and without the masker sounds.

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Active Control of Road-Booming-Noise with Constraint Multiple Filtered-X LMS Algorithm

  • Oh, Shi-Hwan;Kim, Hyoun-Suk;Park, Young-Jin
    • The Journal of the Acoustical Society of Korea
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    • 제19권2E호
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    • pp.3-7
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    • 2000
  • Vibration generated by the non-uniform road profile propagates though each tire and the suspension and finally generates structure born noise in the interior of the passenger vehicle. In this paper, the road-booming-noise which has strong correlation with the vibration signals measured at the suspension system was compensated. Active noise control of the road-booming-noise is rather difficult to achieve because of its non-stationary characteristics. CMFX LMS (Constraint Multiple Filtered-X Least Mean Square) algorithm, which can track non-stationary process rather well, is applied. Comprison of the proposed method and the conventional MFX LMS (Multiple Filtered-X Least Mean Square) algorithm is made through the hardware-in-the-loop simulation and the feasibility of the proposed method is demonstrated with the experiment.

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상관제거 필터를 이용한 다중 소음원의 소음제거 (Noise Cancelling in Multiple Noise Sources Using Correlation Elimination Filter)

  • 지석근;김천덕
    • 한국음향학회지
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    • 제13권6호
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    • pp.15-23
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    • 1994
  • 본 논문은 소음원이 여러개 존재할 때 다중입력 다중제어의 능동적응제어에 관한 연구이다. 다중채널 제어의 ANC(Active Noise Control)에 관한 현재까지의 연구는 소음원이 여러개 존재하는 경우, 적응필터의 입력신호사이에 상관이 없는 것으로 가정하고 연구되었다. 그러나 실제는 소음신호의 수신마이크로폰에서 제거하고자 하는 소음신호들 사이에 상관이 존재하며, 다수개의 소음원 신호를 독립적으로 검출하는 것이 곤란한 경우가 많고 여기에 관한 연구가 불충분하다. 본 연구에서는 적응필터의 입력신호간에 소음원의 상관을 제거하는 상관제거필터를 제안하였다. 제안한 상관제거 필터를 삽입하여 소음제거 시뮬레이션 결과, 혼합비율을 $b_{12}=0.95$일 때 상관을 제거한 경우가 약 2배 정도 빠른 수렴속도를 나타냈다.

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다중 필터링 방법을 이용한 영상의 노이즈 제거 알고리즘 (Noise Reduction Algorithm by using Multiple filtering)

  • 김진겸;김동욱;서영호
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.236-237
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    • 2019
  • 본 논문에서는 웨이블릿 기반의 영상의 노이즈 제거 알고리즘을 제안한다. 기존 Mallat Tree 방식의 웨이블릿 변환을 응용한다. 먼저, 다중 필터링 방법을 제시한다. 웨이블릿 영역에서 각 부대역의 에너지를 고려하여 웨이블릿 변환의 에너지 집중 특성을 극대화 시킨다. 노이즈 영상에 제안한 다중 필터링을 적용한다. 일반 영상에서 나올 수 없는 에너지 부대역을 찾고 이를 제거하여 노이즈를 제거한다.

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Speech Recognition in Car Noise Environments Using Multiple Models Based on a Hybrid Method of Spectral Subtraction and Residual Noise Masking

  • Song, Myung-Gyu;Jung, Hoi-In;Shim, Kab-Jong;Kim, Hyung-Soon
    • The Journal of the Acoustical Society of Korea
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    • 제18권3E호
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    • pp.3-8
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    • 1999
  • In speech recognition for real-world applications, the performance degradation due to the mismatch introduced between training and testing environments should be overcome. In this paper, to reduce this mismatch, we provide a hybrid method of spectral subtraction and residual noise masking. We also employ multiple model approach to obtain improved robustness over various noise environments. In this approach, multiple model sets are made according to several noise masking levels and then a model set appropriate for the estimated noise level is selected automatically in recognition phase. According to speaker independent isolated word recognition experiments in car noise environments, the proposed method using model sets with only two masking levels reduced average word error rate by 60% in comparison with spectral subtraction method.

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