• Journal of information and communication convergence engineering
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• 제9권1호
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• pp.59-63
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• 2011

Conventional noise reduction filtering schemes realize limited improvements of the peak signal-to-noise ratio (PSNR) in the low-level noisy images. The flatness degree and the edge information are effectively used to estimate the noise volume. We propose a noise estimator for reducing noise in the AWGN (additive white gaussian noise) corrupted images using three intermediate image maps (FGM(flatness gray map), FIM(flatness index map), NEM(noise estimate map)). The proposed noise estimator is fed into the conventional noise reduction filters as a pre-processor. The performance of noise reduction is tested in the various AWGN corrupted images.

• Journal of Electrical Engineering and Technology
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• 제13권3호
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• pp.1383-1391
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• 2018

A new nonlinear filtering algorithm for effectively denoising images corrupted by the random-valued impulse noise, called dual sliding statistics switching median (DSSSM) filter is presented in this paper. The proposed DSSSM filter is made up of two subunits; i.e. Impulse noise detection and noise filtering. Initially, the impulse noise detection stage of DSSSM algorithm begins by processing the statistics of a localized detection window in sorted order and non-sorted order, simultaneously. Next, the median of absolute difference (MAD) obtained from both sorted statistics and non-sorted statistics will be further processed in order to classify any possible noise pixels. Subsequently, the filtering stage will replace the detected noise pixels with the estimated median value of the surrounding pixels. In addition, fuzzy based local information is used in the filtering stage to help the filter preserves the edges and details. Extensive simulations results conducted on gray scale images indicate that the DSSSM filter performs significantly better than a number of well-known impulse noise filters existing in literature in terms of noise suppression and detail preservation; with as much as 30% impulse noise corruption rate. Finally, this DSSSM filter is algorithmically simple and suitable to be implemented for electronic imaging products.

• 대한방사선기술학회지:방사선기술과학
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• 제26권2호
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• pp.63-69
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• 2003

영상재구성에 있어 잡음(noise)을 제거하고 공간 분해능과 대조도 분해능을 향상시킬 수 있는 filter에서 cut off 주파수 level에 따라 영상의 질에 영향을 미치는 경향을 반폭치(FWHM : full width at half maximum)측정방법을 이용하여 비교하였다. 선택한 filter의 종류는 Band-limited, Sheep-logan, Sheep-logan Hanning, Generalized Hamming, Low pass cosine, Parazen, 그리고 Butterworth filter이다. SPECT 영상을 기록하기 위한 점선원(point source)으로 방사성의약품 $^{99m}TcO_4$을 이용하였으며 점선원에 대하여 각각의 filter에서 cut off 주파수 준위별로 영상을 기록하고 axial transverse, coronal sagittal... fh의 section image의 profile 곡선에서 반폭치을 측정하여 비교하였다. 본 연구에서 사용한 filter들에 있어서는 cut off level에 따라 X, Y, 그리고 Z축 방향으로의 평균 FWHM의 길이가 $9.16\;mm{\sim}18.14\;mm$까지 측정되었는데 cut off level 0.7에서 Generalized Hamming filter와 Band limited filter의 경우 9.16 mm로 반폭치의 길이가 제일 짧은 것으로 나타났다.

• 대한토목학회논문집
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• 제31권1B호
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• pp.37-45
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• 2011

본 연구에서는 비선형 카오스 계열에 대한 잡음의 영향 분석을 위하여 대표적인 비선형 카오스 특성을 보이는 것으로 알려진 Logistic Map 자료계열을 이용하여 연구를 수행하였다. 잡음을 임의로 추가하여 잡음 수준에 따라 자료계열을 재생성 하였으며 비선형 자료의 분석 방법으로 활용되고 있는 상태공간 재건, 상관차원 추정, BDS 통계, DVS 알고리즘 분석을 실시하였다. 분석 결과 자료계열은 잡음의 수준이 높아짐에 따라 비선형 카오스적 특성을 보이는 원시자료의 특성이 사라지고 무작위한 추계학적 특성을 보이는 자료로 변화하였다. 그리고 잡음의 영향을 받고 있는 자료에 대한 잡음제거 방법으로 Low Pass Filter와 Kalman Filter 기법을 적용하였다. 전통적인 비모수 통계기법은 비선형 무작위 시계열 또는 비선형 시계열을 구분하는데 어려움이 있지만 비선형 통계기법인 BDS 통계는 비선형 시계열을 구분할 수 있는 것으로 알려져 있다. 분석을 수행한 결과 잡음 수준이 높을 경우 Low Pass Filter는 잡음을 효과적으로 제거하지 못하여 비선형 자료를 선형자료로 판정하였지만 Kalman Filter의 경우 잡음을 효과적으로 제거하는 것으로 나타나 적용성이 우수함을 알 수 있었다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2001년도 추계학술대회논문집 I
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• pp.459-464
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• 2001

Vibration control of a plate using an optical fiber sensor and a PZT actuator is considered in this study. An aluminum plate with attached Extrinsic Fabry-Perot Interferometer (EFPI) and PZT actuator is prepared for experimental investigation. Vibration level of EFPI that can represent the mechanical strain without severe distortion is validated by forced vibration experiment. A numerical model of the plate is constructed based on the experimentally obtained frequency responses, and an optimal controller is designed for the multi-modal vibration suppression. It is found that the vibration level of the first three modes can be greatly reduced. The effect of low-pass filtering used to eliminate high frequency noise on the stability and control performance is also considered.

• 한국정보통신학회논문지
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• 제22권1호
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• pp.91-99
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• 2018

본 논문에서는 텔레비전 유휴 주파수 대역(470 MHz ~ 698 MHz)에서 적용 가능한 우수한 수신감도와 높은 선형 특성을 동시에 확보할 수 있는 RF 수신기 구조와 회로 구조를 제안하였다. 제안하는 RF 수신기는 $0.13-{\mu}m$ CMOS 공정으로 설계되었으며, 저잡음 증폭기, 고주파 대역 통과 필터, 고주파 증폭기, 수동 하향 주파수 변환기, 그리고 기저 대역 통과 필터로 구성되어 있다. 높은 수신감도를 얻기 위해 저잡음 증폭기와 고주파 증폭기를 적용하였으며, 인접 채널에 위치하는 인터피어러를 고주파 대역에서 필터링하기 위해 MOS 스위치와 커패시터를 이용한 고주파 대역 통과 필터와 수동 하향 주파수 변환기를 동시에 사용하였다. 제안된 4차 저역통과 필터는 공통-게이트 증폭기에 기존의 바이쿼드 셀을 적용하여 -24dB/oct 필터링 특성을 얻었다. 모의 실험결과로부터 설계된 RF 수신기는 56 dB의 전압이득, 2 dB 이하의 잡음 지수, -2.3 dBm의 IIP3 (out-of-channel) 성능을 제공하며, 1.5 V 전원으로부터 37 mA를 소모 한다.

• 한국소음진동공학회논문집
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• 제22권12호
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• pp.1227-1236
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• 2012

The low speed machinery faults are usually caused by the bearing failure of the rolling elements. As the life time of the bearing is limited, the condition monitoring of bearing is very important to maintain the continuous operation without failures. A few monitoring techniques using time domain, frequency domain and fuzzy neural network vibration analysis are introduced to detect and diagnose the faults of the low speed machinery. This paper presents a method of fault detection for the rolling element bearing in the low speed machinery using the Wiener filtering and shock pulse counting techniques. Wiener filter is used for noise cancellation and it clearly makes the shock pulse emerge from the time signal with the high level of noise. The shock pulse counting is used to determine the various faults obviously from the shock signal with transient pulses not related with the bearing fault. Machine fault simulator is used for the experimental measurement in order to verify this technique is the powerful tool for the low speed machine compared with the frequency analysis. The test results show that the method proposed is very effective parameter even for the signal with high contaminated noise, speed variation and very low energy. The presented method shows the optimal tool for the condition monitoring purpose to detect the various bearing fault with high accuracy.

• 한국소음진동공학회논문집
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• 제12권4호
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• pp.294-301
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• 2002

Vibration control of a plate using an optical fiber sensor and a piezoelectric actuator is considered in the present study, An aluminum plate with attached Extrinsic Fabry-Perot Interferometer (EFPI) and piezoelectric actuator is prepared for experimental investigation. Vibration level of EFPI that can represent the mechanical strain without severe distortion Is validated by forced nitration experiment. A linear time invariant system model is constructed based on the experimentally obtained frequency responses, and an optimal controller is designed for the multi-modal vibration suppression. Control performance is presented in frequency and time domains. It is found that the nitration level of the first three modes can be greatly reduced. The effect of low-pass filtering used to eliminate high frequency noise on the stability and control performance is also considered.

• 한국군사과학기술학회지
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• 제19권5호
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• pp.582-589
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• 2016

Multi-mode monopulse system is widely used for satellite terminal like UAV because of high tracking accuracy and low size/weight profile. In order to calculate tracking error, Multi-mode monopulse system utilizes high-order mode signal, and it should have enough C/N(carrier to noise) level therefore tracking system needs narrow band filtering of received satellite beacon signal as much as possible. However, UAV suffers for beacon frequency drift derived from Doppler effect due to satellite figure 8 movement and UAV maneuvering. Therefore wideband signal processing needs to be considered in advance for exact doppler compensation and consequent time delay. In this paper, we propose the multi-stage Digital Signal processing system for beacon signal, which could minimize the signal delay under high Doppler and low C/N condition.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.851-854
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• 2000

Digital halftoning is a technique to make an equivalent binary image from scanned photo or graphic images. Low pass filtering characteristic of human visual system can be applied to get the effect of spatial averaging of local area consisted of black and white pixels for gray image. The overlapping of black dot decreases brightness and black dot is very sensitive to human visual system in the bright region. In this paper, for gray-level expression, only bright gray region in the color image is considered for blue noise mask (BNM) approach. To solve this problem, BNM with CMY dot is used for the bright region instead of black dot. Dot-on-dot model with single mask causes the problem making much black dot overlap, color distortion. Therefore approach with three masks for C, M and Y each is proposed to decrease pixel overlap and color distortion.