• 한국음향학회지
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• 제33권1호
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• pp.48-53
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• 2014

수중음향통신은 시변동성으로 인하여 도플러 편이를 발생하고, 다중경로로 인하여 지연 확산의 특성을 갖는다. 이러한 채널 특성은 인접 심볼 간 간섭을 발생시켜 통신 성능을 저하시킨다. 통신 성능을 개선하기 위하여 시역전, 공간 다이버시티, 위상 추정기 및 등화기 등과 같은 다양한 기법이 연구되고 있다. 본 논문에서는 시변동성 다중경로로 인한 인접 심볼 간 간섭을 완화하는 방법으로 빔 형성 기반의 공간 필터 기법을 제안한다. 제안된 기법은 원하는 신호방향으로 빔을 조향하여 공간상의 신호를 분리하고, 배열 이득으로 신호 대 간섭 잡음비를 향상시키고 통신 성능을 개선한다.

• 한국통신학회논문지
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• 제39C권5호
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• pp.413-417
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• 2014

코히어런트 초고속 광전송 링크에서는 성능을 열화시키는 잡음요소를 제거하는 것이 더욱 중요하게 대두되고 있다. 그 중 위상잡음과 주파수 오프셋은 위상문제를 일으키는 잡음으로, 신호 처리를 방해하는데 가장 주요한 요인이다. 본 논문에서는 디지털 신호처리 방법을 이용하여 위상잡음과 주파수 오프셋을 보상하는 방법을 제안하였으며 시뮬레이션을 통해 타당성을 검증하였다. 제안된 알고리즘은 기존의 보상 방법들보다 계산 복잡도를 낮추어, 신호 처리속도가 중요한 초고속 코히어런트 광전송 시스템에 있어서 수신기의 신호처리 부담을 완화하였다.

• 한국전자파학회논문지
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• 제21권10호
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• pp.1161-1168
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• 2010

FHSS(Frequency Hopping Spread Spectrum) 방식은 군 통신 시스템에서 재밍(Jamming)에 의한 간섭을 줄이기 위해 사용된다. 하지만 사용되는 변조 방식의 종류, 재밍 신호의 특성에 따른 위성 통신 시스템의 BER 성능이 무선 채널 상태에 따라 어떤 성능 차이를 보이는지 분석되지 않았다. 따라서 본 논문에서는 PBNJ(Partial-Band Noise Jamming)와 WPBJ(Worst case Partial-Band noise Jamming)의 두 가지 재밍 환경에서 NC-MFSK(Non-Coherent M-ary Frequeency-Shift Keying), SDPSK(Symmetric Differential Phase-Shift Keying), GMSK (Gaussian filtered Minimum-Shift Keying)의 세 가지 변조 방식에 따른 위성 통신 시스템의 BER 성능 변화를 분석한다. 또한, 분석된 결과를 이용하여 전송 환경에 따른 최적의 전송 방식을 제안하도록 한다.

• 센서학회지
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• 제6권6호
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• pp.458-465
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• 1997

본 논문에서 자기 이상 검출시스템의 신호 대 잡음비 개선을 위하여 자기환경 필터의 이론을 제안하였다. 자기환경 필터는 검출센서와 기준센서로부터 자기장을 측정하여 주파수 공간에서 상관관계를 측정하여 구성된다. 이를 이용하면 간섭성 잡음을 제거시켜 신호대 잡음비론 개선시킬 수 있다. 최근 DSP 하드웨어 기술을 이용하면 자기환경 필터의 하드웨어 구현이 용이하다. 컴퓨터 시뮬레이션을 통하여 여러 자기 환경 조건에서 제안된 자기환경 필터의 성능을 보였다. 시뮬레이션 결과 자기환경 필터는 간섭성 잡음을 소거시킬 뿐만 아니라 센서의 오배치에 의한 오차를 제거하고 지역적으로 국한된 규칙적인 잡음도 제거할 수 있음을 알 수 있었다.

• 한국소음진동공학회논문집
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• 제21권1호
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• pp.81-88
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• 2011

The method is introduced for estimating the noise source contribution on the noise of PDP TV in a multiple-input system where the input sources may be coherent with each other. By the coherence function method, it is found that the biggest part of the noise source in the PDP TV noise is generated by the PCB boards which consume high power and produce high heat. This analysis is modeled as three-input/single-output system because the noise is generated by three main boards, X-board, Y-board, SMPS that are located close to each other. The coherence function method is proved to be useful tool for identifying of noise source. In this study, Transfer Path Analysis using MDSA is implemented to determine the quantitative noise contribution of each board for PDP TV with the rear case closed and with the rear case open. And the possibility of noise reduction is confirmed through the experimental method that isolates the most contributing board by adding sound-absorbing materials to it.

• 전기학회논문지
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• 제63권3호
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• pp.395-403
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• 2014

This paper presents a new approach to improve the signal to noise ratio (SNR) for local seismic disaster preventing system in densely populated area. The seismic data measured in the local site includes various sensing noises (offset or measurement noise) and man-made/natural noises (road and rail traffic noise, rotating or hammering machinery noise, human activity noise such as walking and running, wind/atmospheric pressure-generated noise, etc.). These additive noises are different in time and frequency characters. The proposed method uses 3-stages processing to reduce these different additive noises. In the first stage, misalignment offset noise are diminished by time average processing, and then the second and third stages, coherent/incoherent noises such as man-made/natural noises are suppressed by array stacking. In addition, we derived the theoretical equation of the SNR gain improved by the proposed method. To evaluate the performance of the proposed method, computer simulations were performed with real seismic data and test equipment generated data as the input.

• Journal of information and communication convergence engineering
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• 제5권4호
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• pp.300-304
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• 2007

Wireless sensor networks represent a new and exciting communication paradigm which could have multiple applications in future wireless communication. Therefore, performance analysis of such a wireless sensor network paradigm is needed in complex wireless channel. Wireless networks could be an important means of providing ubiquitous communication in the future. In this paper, the BER performance of uniform distributed wireless sensor networks is evaluated in non-Gaussian noise channel. Using an analytical approach, the impact of Av. BER performance relating the coherent BPSK system at the end of a multi-hop route versus the spatial density of sensor nodes and impulsive noise parameters A and $\Gamma$ is evaluated.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.156-159
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• 2009

Speckle noise reduction for 3D power doppler ventricle coherent image for restoration and enhancement using wavelet packet transform with separated thresholding is presented. Wavelet Packet Transform divide into low frequency component image to high frequency component image to be multi-resolved. speckle noise is located on high frequency component in multiresolution image mainly. A ventricle image is transformed and inversed with separated threshold function from low to high resolved images for restoration to be utilize visualization for ventricle diagnosis. The experimental result shows that the proposed method has better performance in comparison with the conventional method.

• 소음진동
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• 제10권4호
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• pp.669-678
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• 2000

This paper reviews the improved moving frame acoustic holography (MFAH) method and its application. Moving frame acoustic holography was originally proposed to increase the aperture size and the spatial resolution of hologram by using a moving line array of microphones. The hologram of scanned plane can be obtained by assuming the sound field to be product of spatial and temporal information. Although conventional MFAH was only applied to sinusoidal signals, it allows us to visualize the noise generated by moving noise sources by employing a vertical line array of microphones affixed to the ground. However, the sound field generated by moving sources becomes different from that of stationary ones due to the movement of the sources. Firstly, this paper introduces the effect of moving noise sources on the obtained hologram by MFAH and the applicability of MFAH to the visualization of moving sources. Secondly, this paper also reviews improved MFAH that can visualize a coherent narrow band noise and a pass-by noise. The practical applicability of the improved MFAH was demonstrated by visualizing tire noise during a pass-by test.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.556-564
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• 2021

Numerous spatial and transform-domain-based conventional denoising algorithms struggle to keep critical and minute structural features of the image, especially at high noise levels. Although neural network approaches are effective, they are not always reliable since they demand a large quantity of training data, are computationally complicated, and take a long time to construct the model. A new framework of enhanced hybrid filtering is developed for denoising color images tainted by additive white Gaussian Noise with the goal of reducing algorithmic complexity and improving performance. In the first stage of the proposed approach, the noisy image is refined using a high-dimensional non-local means filter based on Principal Component Analysis, followed by the extraction of the method noise. The wavelet transform and SURE Shrink techniques are used to further culture this method noise. The final denoised image is created by combining the results of these two steps. Experiments were carried out on a set of standard color images corrupted by Gaussian noise with multiple standard deviations. Comparative analysis of empirical outcome indicates that the proposed method outperforms leading-edge denoising strategies in terms of consistency and performance while maintaining the visual quality. This algorithm ensures homogeneous noise reduction, which is almost independent of noise variations. The power of both the spatial and transform domains is harnessed in this multi realm consolidation technique. Rather than processing individual colors, it works directly on the multispectral image. Uses minimal resources and produces superior quality output in the optimal execution time.