• ETRI Journal
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• v.34 no.4
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• pp.617-620
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• 2012

The denoising mapping with the closest-neighbor clustering (CNC) method in denoise-and-forward two-way relay channels is studied. Specifically, the symmetry of the constellations in source terminals A and B is utilized to reduce the complexity of the CNC method. The specific case considered first to illustrate how the constellation symmetry works in the CNC method is the quadrature phase-shift keying constellation in A and B and the single-antenna deployment in all terminals. This case study shows that an enormous complexity reduction can be achieved. Next, the result is extended to multiple-antenna scenarios and square quadrature amplitude modulations.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.37 no.5
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• pp.28-35
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• 2000

In this paper, we design a ring inductor using the ferrite core to denoise the EMI(Electromagnetic Interference) for facsimile. The EMI for facsimile is radiated from the signal line of PSTN(Public Switching Telephone Network) between facsimile and PSTN. We denoise the radiated noise by inserting a ferrite core(Ni-Zn) between facsimile and PSTN. Even though we may denoise the radiated noise using two or more than two ferrite cores, we only concentrate on denoising EMI by adjusting number of turns of one ferrite core since it gives economical gain. As a result of measuring EMI using the designed inductor with 4 turns inserted in the line connected between facsimile and PSTN, the value of radiated emission is reduced below 30 dB$\mu$V/m.

• Communications for Statistical Applications and Methods
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• v.8 no.2
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• pp.573-579
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• 2001

Wavelet thresholding is a method for he reduction of noise in image. Wavelet coefficients of image are correlated in local characterization. Thee correlations also appear in he original pixel representation of the image, and they do not follow from the characterizations of the wavelet transform. In this paper, we compare noise-free distributions of Bayes approach to improve the classical threshold algorithm.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2002.11a
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• pp.363.1-363
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• 2002

This paper presents that the Wavelet Transform can be used to detect the various local defects in a gearbox. Two types of defects which are broken tooth and localized wear, are experimented and the signals are collected by accerometer and acoustic sensors and analyized. Because of the complecity of the signals acquired form sensors, it is needed to identify the interesting signal. (omitted)

• Communications for Statistical Applications and Methods
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• v.8 no.1
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• pp.109-115
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• 2001

Wavelet coefficients are known to have decorrelating properties, since wavelet is orthonormal transformation. but empirically, those wavelet coefficients of images, like edges, are not statistically independent. Jansen and Bultheel(1999) developed the empirical Bayes approach to improve the classical threshold algorithm using local characterization in Markov random field. They consider the clustering of significant wavelet coefficients with uniform distribution. In this paper, we developed wavelet thresholding algorithm using Laplacian distribution which is more realistic model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.1
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• pp.137-143
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• 2017

X-ray image is a widely used to medical examination, airport security and cargo inspection. However, X-ray images contain many visual noise, which interrupt image analysis. Consequently, it is primary importance to reduce noises of X-ray image. In this paper, we present a improved denoise technique for x-ray image using pixel value and range weights. First, we denoise a x-ray image using bilateral filter. Next, we detect a edge region of the original x-ray image. If a denoised pixel belongs to the edge region, we calculate weighting values of original x-ray image and denoised x-ray image in $3{\times}3$ neighboring pixels and compute the cost value to determine the boundary pixel value. Finally, the pixel value having minimum cost is determined as the pixel value of the denoised x-ray image. Simulation results show that the proposed algorithm achieves good performance in terns of PSNR comparison and subjective visual quality.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.57-58
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• 2009

최근 MPEG에서 HD(High Definition) 해상도 이상의 초고해상도 비디오를 위한 HVC(High-performance Video Coding) 표준화에 대하여 논의가 되고 있다. 이런 흐름 속에서 ETRI에서 보유중인 베리어 방식의 CCD를 사용하여 NHK에서 제작된 RG1G2B 4K 영상은 dark current error, bias error, flat error 등에 의한 영상 자체의 열화가 많아 HVC 연구를 위한 영상으로 사용되기에는 무리가 많다. 가장 이상적인 해결방안은 NHK에서 제작한 카메라 자체에 열화제거를 위한 장치들을 설치하여 규칙적인 열화를 제거한 영상을 확보하는 것이지만, 특수 제작된 카메라여서 이 방법은 불가능하다. 본 논문은 이 NHK의 영상을 wavelet 기반의 denoise filter를 응용하여 영상의 열화를 일정부분 제거하면서 영상의 디테일이 최대한 유지되도록 하여, 기존의 영상보다 깔끔한 8K UHD 영상을 획득하는 방안을 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.255-259
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• 2003

The noise canceling on gray image morphing with median filter is presented. The processing is that interpolate the image with B-spline, specify the distinctive points, cancel the noise by median filtering and perform the morphing. The experiment results denoise the blocking degradation as 20%, correct and present a soft morphing image processing.

• Journal of IKEEE
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• v.25 no.1
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• pp.76-82
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• 2021

In this paper, the compressed sensing basic pursuit denoise algorithm adopted to synthetic aperture radar imaging is investigated to improve the object recognition. From the incomplete data sets for image processing, the compressed sensing algorithm had been integrated to recover the data before the conventional back- projection algorithm was involved to obtain the synthetic aperture radar images. This method can lead to the reduction of measurement events while scanning the objects. An ultra-wideband radar scheme using a stripmap synthetic aperture radar algorithm was utilized to detect objects hidden behind the box. The Ultra-Wideband radar system with 3.1~4.8 GHz broadband and UWB antenna were implemented to transmit and receive signal data of two conductive cylinders located inside the paper box. The results confirmed that the images can be reconstructed by using a 30% randomly selected dataset without noticeable distortion compared to the images generated by full data using the conventional back-projection algorithm.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.2
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• pp.78.3-78.3
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• 2019

We develop a novel technique that can constrain the evolutionary track of the epoch of reionization (EoR) by applying the convolutional neural network (CNN) to the 21-cm differential brightness temperature. We use 21cmFAST, a fast semi-numerical cosmological 21-cm signal simulator, to produce mock 21-cm map between z=6-13. We design a CNN architecture that predicts the volume-averaged neutral hydrogen fraction from the given 21-cm map. The estimated neutral fraction has a good agreement with its truth value even after smoothing the 21-cm map with somewhat realistic choices of beam size and the frequency bandwidth of the Square Kilometre Array (SKA). Our technique could be further utilized to denoise the 21-cm map or constrain the properties of the radiation sources.