• 제목/요약/키워드: Noise Elimination

검색결과 225건 처리시간 0.042초

실시간 처리를 위한 2차 화상의 잡음 제거 전용 하드웨어 구성 (Dedicated hardware implementation for real time noise elimination of 2-valued image)

  • 박인정;이동찬
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.243-246
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    • 1988
  • A lot of time is required in order to the process of loop repeating the preprocessing operated in the software. Specially in the preprocessing, most of the time is used for the noise elimination such a software algorithm component of a noise elimination hardware, this can operate quickly the process.

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Transmission Matrix Noise Elimination for an Optical Disordered Medium

  • Wang, Lin;Li, Yangyan;Xin, Yu;Wang, Jue;Chen, Yanru
    • Current Optics and Photonics
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    • 제3권6호
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    • pp.496-501
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    • 2019
  • We propose a method to eliminate the noise of a disordered medium optical transmission matrix. Gaussian noise exists whenever light passes through the medium, during the measurement of the transmission matrix and thus cannot be ignored. Experiments and comparison of noise eliminating before and after are performed to illustrate the effectiveness and advance presented by our method. After noise elimination, the results of focusing and imaging are better than the effect before noise elimination, and the measurement of the transmission matrix is more consistent with the theoretical analysis as well.

ST세그먼트 검출성능향상을 종속 적응필터의 세계 (Design of a Cascade Adaptive Filter for the Performance sn Detection of Segment)

  • 박광리;이경중
    • 대한의용생체공학회:의공학회지
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    • 제16권4호
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    • pp.517-524
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    • 1995
  • This paper is a study on the design of the cascade adaptive filter (CAF) for baseline wandering elimination in order to enhance the performance of the detection of ST segments in ECG. The CAF using Least Mean Square (LMS) algorithm consists of two filters. The primary adaptive filter which has the cutoff frequency of 0.3Hz eliminates the baseline wandering in raw ECG The secondary adaptive filter removes the remnant baseline wandering which is not eliminated by the primary adaptive filter. The performance of the CAF was compared with the standard filter, the recursive filter, and the adaptive impulse correlated filter (AICF). As a result, the CAF showed a lower signal distortion than the standard filter and the AICF. Also, the CAF showed a better perf'ormance in noise elimination than the standard filter and the recursive filter. In conclusion, considering the characteristics of the noise elimination and the signal distortion, the CAF shows a better performance in the removal of the baseline wandering than the other three Otters and suggests the high performance in the detection of ST segment.

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선박기관실의 소음 저감을 위한 차폐공명기의 개발에 관한 연구 (A Study on the Development of a Resonator to Reduce the Ship Engine Room Noise)

  • 유영훈
    • 동력기계공학회지
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    • 제11권4호
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    • pp.72-77
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    • 2007
  • It is known that elimination of ship engine room noise is impossible thing, so the working environment in the engine room is getting worse because ships are recently built with huge engines to take higher sailing power. In the yacht and cruise yacht, the engine room noise is more serious because they have bigger engines relative to their hull sizes. The noise generated from the main engine makes the employee to hearing loss and the transmitted noise make the uncomfortable conditions in the cabins of ship. The noise generated by ship engine must be attenuate for the employee and passenger. In yacht and cruise yacht, the noise levels in cabines are the most important criterions to the value of commodities. In this study, the noise absorbtion barrier which have resonators is experimentally studied by the 1/3 octave band noise elimination rates(%).

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Modified Weighted Filter Algorithm for Noise Elimination In Mixed Noise Environments

  • ;김남호
    • 융합신호처리학회논문지
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    • 제13권2호
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    • pp.63-69
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    • 2012
  • Noise is regarded as an unwanted component of the image because it significantly reduces image quality. And image is often corrupted by mixed noise. In this paper an efficient modified weighted filter algorithm which combines spatial weight and intensity weight is proposed for removing mixed noise. In the proposed method, the filtering mask is separated into the four sub-windows and the parameters of the weights are confirmed by calculating local standard deviation and the mean of four sub-windows' standard deviations. Considering the spatial information and intensity information, the proposed method has good performance on not only noise elimination but also preservation of details. Simulation results demonstrate that the proposed method performs better than conventional algorithms.

도로면 크랙영상의 노이즈 제거 알고리즘에 관한 연구 (A Study on the development of Algorithm for Removing Noise from Road Crack Image)

  • 김정렬;이세준;최현하;김영석;이준복;조문영
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2002년도 학술대회지
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    • pp.535-538
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    • 2002
  • 크랙 실링 자동화 장비의 비젼 시스템은 도로면의 영상을 획득하고 이를 컴퓨터로 처리하여 도로면의 랙을 탐지, 분석 및 맵핑하는 역할을 수행하는 것이다. 그러나 실제 도로에는 크랙과 함께 오일 자국, 타이어 자국, 차선, 기 실링된 크랙 등의 수많은 노이즈들을 포함하고 있기 때문에 비젼 시스템을 통해 얻어진 노이즈가 포함된 도로면 영상을 기반으로 크랙을 자동으로 탐지하고 맵핑하는 것은 매우 어려우며 이러한 노이즈는 크랙의 정확한 탐지 및 맵핑의 커다란 방해 요소이기 때문에 이들의 제거가 선결되어야만 한다. 따라서 본 연구에서는 획득된 도로면 영상으로부터 크랙을 탐지하고 맵핑하기 이전에 실링되어질 크랙을 정확히 인지(recognition)하기 위한 노이즈 제거 알고리즘을 제안하고자 한다.

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마이크로폰 어레이 측정에서의 도플러 효과와 자체소음 제거에 관한 실험적 연구 (Elimination of Self Noise & Doppler Effects from the Microphone Array Measurement)

  • 이욱;박성;김재무;최종수
    • 한국소음진동공학회논문집
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    • 제16권7호
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    • pp.677-682
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    • 2006
  • In the case of aeroacoustic test in windtunnel, measurement accuracy is reduced by not only Doppler effects but also by the microphone self noise due to airflow and high turbulence in the wall boundary layer. Microphone array measurements can be easily utilized for the solutions of these problems. In this paper, geometrical optics approach and diagonal term elimination of cross spectral matrix was introduced to the de-dopplerization and self noise reduction methods for the microphone array measurement. For the validation, beamforming tests for sinusoidal point source were performed in the closed type test section of windtunnel, and their performances of beam width and sidelobe rejection were significantly improved.

Noise Suppression in NMR Spectrum by Using Wavelet Transform Analysis

  • Kim, Daesung;Youngdo Won;Hoshik Won
    • 한국자기공명학회논문지
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    • 제4권2호
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    • pp.103-115
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    • 2000
  • Wavelet transforms are introduced as a new tool to distinguish real peaks from the noise contaminated NMR data in this paper. New algorithms of two wavelet transforms including Daubechies wavelet transform as a discrete and orthogonal wavelet transform (DWT) and Morlet wavelet transform as a continuous and nonorthogonal wavelet transform(CWT) were developed fer noise elimination. DWT and CWT method were successfully applied to the noise reduction in spectrum. The inevitable distortion of NMR spectral baseline and the imperfection in noise elimination were observed in DWT method while CWT method gives a better baseline ahape and a well noise suppressed spectrum.

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마이크로폰 어레이 측정에서의 도플러 효과와 자체소음 제거에 관한 실험적 연구 (Elimination of Self Noise & Doppler Effects from the Microphone Array Measurement)

  • 이욱;박성;최종수;김재무
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계학술대회논문집
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    • pp.822-825
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    • 2005
  • In the case of aeroacoustic test in windtunnel, measurement accuracy is reduced by not only Doppler effects but also by the microphone self noise due to airflow and high turbulence in the wall boundary layer. Microphone array measurements can be easily utilized for the solutions of these problems. In this paper, geometrical optics approach and diagonal term elimination of cross spectral matrix was introduced to the de-dopplerization and self noise reduction methods for the microphone array measurement. For the validation, beamforming tests for sinusoidal point source were performed in the closed type test section of windtunnel, and their performances of beam width and sidelobe rejection were significantly improved.

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베이스라인 제거를 위한 디지털 신호처리 시스템 구현 (An Implementation Of Digital Signal Processing System For The Baseline Elimination)

  • 윤승구;박형재;박종억;배의환;김영길
    • 한국정보통신학회논문지
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    • 제5권7호
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    • pp.1287-1294
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    • 2001
  • 심전도는 파형의 크기가 수 ㎷정도로 아주 작은 생체신호로서, 계측할 때 발생되는 잡음으로 인하여 해석하는데 어려움을 준다[1]. 깨끗한 파형을 얻기 위해서는 심전도 신호에 포함되어 있는 전원 잡음, 기저선 변동, 근 잡음을 제거해야 된다. 심전계에서 심전도 신호를 기록하는데 있어서 가장 큰 문제를 야기하는 부분이 기저선 변동인데 전극을 부착한 부위의 근육수축과 호흡의 리듬에 따라서 발생하게 된다. 그러한 기저선은 상하로 심하게 불규칙한 변동을 하면서 흔들리게 되어 심전도 신호를 진단하는데 어려움이 있으므로 기저선 변동을 제거하는 부분이 매우 중요하다. 본 연구에서는 실시간으로 신호처리 할 수 있는 디지털 필터를 구현함으로써 기저선 변동을 제거하는 시스템을 설계하여 환자의 심장질환을 분석하는데 응용할 수 있도록 하였다.

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