• 정보처리학회논문지B
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• 제13B권4호
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• pp.489-498
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• 2006

색인전문가에 의해 분류된 웹문서들을 통계적 자질 선택방법으로 자질을 추출하여 클라스터링을 해 보면, 자질 선택에 사용된 데이터셋에 따라 성능과 결과가 다르게 나타난다. 그 이유는 많은 웹 문서에서 문서의 내용과 관계없는 단어들을 많이 포함하고 있어 문서의 특정을 나타내는 단어들이 상대적으로 잘 두드러지지 않기 때문이다. 따라서 클러스터링 성능을 향상시키기 위해 이런 부적절한 자질들을 제거해 주어야 한다. 따라서 본 논문에서는 자질 선택에서 자질의 문서군별 자질값뿐만 아니라, 문서군별 자질값의 분포와 정도, 자질의 출현여부와 빈도를 고려한 자질 필터링 알고리즘을 제시한다. 알고리즘에는 (1) 단위 문서 내 자질 필터링 알고리즘(FFID : feature filtering algorithm in a document), (2) 전체 데이터셋 내 자질 필터링 알고리즘(FFIM : feature filtering algorithm in a document matrix), (3)FFID와 FFIM을 결합한 방법(HFF:a hybrid method combining both FFID and FFIM) 을 제시한다. 실험은 단어반도를 이용한 자질선택 방법, 문서간 동시-링크 정보의 자질확장, 그리고 위에서 제시한 3가지 자질 필터링 방법을 사용하여 클러스터링 했다. 실험 결과는 데이터셋에 따라 조금씩 차이가 나지만, FFID보다 FFIM의 성능이 좋았고, 또 FFID와 FFIM을 결합한 HFF 결과가 더 나은 성능을 보였다.

• The Journal of the Acoustical Society of Korea
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• 제22권3E호
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• pp.110-112
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• 2003

There have been numerous studies on the enhancement of the noisy speech signal. In this paper, we propose a completely new speech enhancement scheme, that is, a filtering of a dissonant frequency (especially F# in each octave of the tempered scale) based on the fundamental frequency which is developed in frequency domain. In order to evaluate the performance of the proposed enhancement scheme, subjective tests (MOS tests) were conducted. The subjective test results indicate that the proposed method provides a significant gain in audible improvement especially for speech contaminated by colored noise and speaking in a husky voice. Therefore when the filter is employed as a pre-filter for speech enhancement, the output speech quality and intelligibility is greatly enhanced.

• 전자공학회논문지 IE
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• 제45권1호
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• pp.24-30
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• 2008

DMT 변조 방식은 VDSL에 적용된 다중 반송파 변조 방식이다. DMT 변조 방식의 문제는 송수신 반송파 주파수들 사이의 주파수 오프셋(Offset)에 민감하다는 것이다. 이러한 주파수 오프셋은 DMT 심볼에서 반송파간 간섭을 야기한다. 본 논문에서는 칼만(Kalman) 필터링을 이용하여 ICI를 감소하는 방법을 제안한다. 제안한 방식은 다른 방식과의 성능과 대역폭 그리고 계산상 복잡도를 비교한다. 시뮬레이션 결과는 제안한 방식의 성능이 주파수 오프셋이 높은 경우와 높은 차수의 변조 방식에 대해서 다른 방식에 대해서 칼만 필터링을 이용한 방식이 더 좋은 성능을 나타내었다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.447-449
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• 2004

The purpose of this study is measured surface acoustic wave(SAW) characteristics to confirm utilization possibility as SAW sensor using new Pb(Mg$_{1}$3/Nb$_{2}$3/) $O_3$-PbTiO$_3$ (PMN-PT) piezoelectric substrate. We have tried to see if the material can be practically available as a new surface acoustic wave (SAW) biosensor to detect protein. The experimental results clarified that the frequency filtering of the central frequency of the PMN-PT substrate is a superior result to that of the LiTaO$_3$ (LT) substrate, but the result was not completely satisfactory. We know there is a problem in the design of inter-digital transducer (IDT) pattern. The waves transferred through the input terminal forms SAW which is sure to be transferred to the direction of the output terminal and the backward direction of the input terminal. This reflected wave is reiterated with SAW, which is transferred to the output direction, and so the frequency filtering gives a not good result. The electromechanical coupling coefficient of the PMN-PT substrate is excellent, and we can use it as a SAW sensor, in the near future, provided that there will be a new IDT design to increase the frequency filtering.

• ETRI Journal
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• 제37권1호
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• pp.61-65
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• 2015

In this paper, a novel filtering power divider with external isolation resistors is presented. The proposed power divider can be considered as an integration of a bandpass filter and a Gysel power divider. Based on the circuit topology, a high-order filtering power divider can be easily realized. Odd- and even-mode models are employed to analyze the filtering and power splitting functions. For demonstration, a third-order filtering power divider operating at 1.5 GHz is designed and implemented. The measured results exhibit an isolation between the output ports that is better than 20 dB at around the center frequency.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.237-240
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• 2004

In this study, the digital image processing with image enhancement based on homomorphic filtering was performed using geophysical imaging data such as gravity, magnetic data and sub-scenes of satellite images such as LANDSAT, IKONOS, and KOMPSAT. Windows application program for executing homomorphic filtering was designed and newly implemented. In general, homomorphic filtering is technique that is based on Fourier transform, which enhances the contrast of image by removing the low frequencies and amplifying the high frequencies in frequency domain. We can enhance the image selectively using homomorphic filtering as compared with the existing method, which enhance the image totally. Through several experiment using remotely sensed imagery and geophysical image with this program, it is concluded that homomorphic filtering is more effective to reveal distinct characteristics for some complicated and multi-associated features on image data.

• 한국통신학회논문지
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• 제22권4호
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• pp.706-713
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• 1997

In this paper, we propose a band stop filter(BSF) for reducing drag-like effect of the low pass filter(LPF), a block by block adaptive filtering method, and a motion adaptive filtering method, which show better results in terms of PSNR or human visual perception compared to the conventional method using LPF. The BSF improves the draglike effects of the low pass filter by passing temporal high frequency components of video sequences which correspond to objects with large motion. The proposed adaptive methods also improve the conventional adaptive filtering by modifying the conventional algorithm and applying the algorithms for small blocks. The simulation results show that the proposed filtering methods show better results in terms of PSNR and subjective tests in most cases. Also in case of block by block adaptive filtering, it is verified that the application of the algorithm for smaller block gives better results.

• 대한음성학회지:말소리
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• 제60호
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• pp.181-190
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• 2006

This paper describes a speech enhancement scheme that leads to significant improvements in recognition performance when used in the ASR front-end. The proposed approach is based on adaptive comb filtering and an MMSE-related parameter estimator. While adaptive comb filtering reduces noise components remarkably, it is rarely effective in reducing non-stationary noises. Furthermore, due to the uniformly distributed frequency response of the comb-filter, it can cause serious distortion to clean speech signals. This paper proposes an improved comb-filter that adjusts its spectral magnitude to the original speech, based on the speech absence probability and the gain modification function. In addition, we introduce the modified comb filtering-based speech enhancement scheme for ASR in mobile environments. Evaluation experiments carried out using the Aurora 2 database demonstrate that the proposed method outperforms conventional adaptive comb filtering techniques in both clean and noisy environments.

• 한국광학회지
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• 제30권2호
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• pp.48-58
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• 2019

구면 초점 초음파 측정기에 의해 구형의 광 흡수체로부터 측정된 시간(즉, 펄스 형태 광원) 및 주파수 영역(즉, 처프 형태 광원) 광음향 신호의 신호 대 잡음비(signal-to-noise ratio)를 이론 및 시뮬레이션으로 분석하였다. 이전 문헌과 마찬가지로 시간 영역 광음향 측정에 의한 신호 대 잡음비 값이 주파수 영역 광음향 측정의 경우보다 더 높았는데 이 근본적인 이유를 최대허용노광량(maximum permissible exposure)에 따른 광원의 세기와 주파수 필터링을 통한 두 측정 모드의 광음향 스펙트럼들에 대한 분석을 통해 이해하였다. 또한, 분석의 결과로서 주파수 영역 광음향의 처프 형태 광원에 대한 정합 필터링에 더해 DC 스펙트럼 부분을 제거하니 신호 대 잡음비가 5 dB 정도 상승하는 것을 발견하였다. 특히, 주파수 필터 함수의 주파수 상한 값의 변화에 따라 신호대 잡음비 값이 급격하게 변동하였는데 신호 대 잡음비가 최대가 되는 주파수 상한 값이 두 광음향 측정 모드에서 서로 다르게 나타남을 관찰하였다.

• 전기전자학회논문지
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• 제23권1호
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• pp.310-313
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• 2019

This paper used the majority function to digitally filter back-electromotive force as an explanation of the Brushless DC MOTOR control algorithm. The cause and improvement of motor noise, which are operating in close proximity to high frequency sources, did not use conventional low pass filter and comparator elements. Also, they repeatedly output a noise-free BEMF signal for the input value of the majority detection filtering. These filtering steps can help reduce costs and minimize the area of a PCB by requiring relatively little hardware.