• 전자공학회논문지S
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• 제34S권12호
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• pp.70-80
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• 1997

This paper proposes a hierarchical Hausdorff distance (HD) matching algorithm baased on coarse-to-fine approach. It reduces the computational complexity greatly by using the pyramidal structures consisting of distance transform (DT) and edge pyramids. Also, inthe proposed hierarchical HD matching, a thresholding method is presented to find an optimal matching position with small error, in which the threshold values are determined by using the property between adjacent level of a DT map pyramid. By computer simulation, the performance of the conventional and proposed hierarchical HD matching algorithms is compared in therms of the matching position for binary images containing uniform noise.

• 한국산학기술학회논문지
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• 제14권4호
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• pp.1951-1956
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• 2013

랜덤 순서로 발생된 심볼 열을 기반으로 하는 확률 분포 매칭 타입의 알고리듬들은 그 성능 기준이 바이어스된 신호에 대한 변수를 지니고 있지 않아서 바이어스된 충격성 잡음 하에서는 제한된 성능을 나타낸다. 이 논문에서는 바이어스된 충격성 잡음을 이겨내기 위한 수정된 성능기준을 제안하고, 증강된 필터구조와 랜덤 심볼 열을 사용하는 확률 분포 매칭 방법에 기초한 블라인드 알고리듬을 제안하였다. 시뮬레이션 결과로부터 제안된 성능기준에 의해 만들어진 제안된 알고리듬이 바이어스된 강한 충격성 잡음에 대해 동요됨이 없이 탁월한 수렴성능을 보였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2005년도 추계종합학술대회
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• pp.941-944
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• 2005

In this paper, the analysis of input power matching for CMOS RF Low Noise Amplifier (LNA) design is introduced. With two input power matching techniques, the performance of LNAs is estimated according to gain and noise figure. This process can be expressed easily by theoretical method and using simulation. These analytical methods are useful in that they can provide enough insights for designing CMOS RF LNAs.

• 한국멀티미디어학회논문지
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• 제18권8호
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• pp.901-908
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• 2015

Methods of detecting, describing, matching image features, like corners and blobs, have been actively studied as a fundamental step for image processing and computer vision applications. As one of feature description/matching methods, LLAH(Locally Likely Arrangement Hashing) describes image features based on the geometric relationship between their neighbors, and thus is suitable for scenes with poor texture. This paper presents a modified LLAH algorithm, which includes the image features themselves for robustly describing the geometric relationship unlike the original LLAH, and employes a voting-based feature matching scheme that makes feature description much simpler. Then, this paper quantitatively analyzes its performance with synthetic images in the presence of Gaussian noise.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 추계종합학술대회 논문집
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• pp.833-836
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• 1999

In this paper, a wideband MMIC LNA was designed using low Q matching network. Gains of 9.8~12.2 ㏈, and noise figures of 1.7~2.1 ㏈ were obtained from the fabricated wideband MMIC LNA in the frequency ranges of 1.5~2.5㎓. And maximum output power of 10.83 ㏈m were obtained at the center frequency of 2 ㎓. The chip size of the fabricated wideband MMIC low noise amplifier is 1.4 mm$\times$1.4 mm.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2012년도 춘계학술대회 논문집
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• pp.305-306
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• 2012

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.506-509
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• 2006

Shaped Sound Focusing is defined as the generation of acoustically bright shape in space using multiple sources. The acoustically bright shape is a spatially focused region with relatively high acoustic potential energy level. In view of the energy transfer, acoustical focusing is essential because acoustic energy is very small to use other type of energy. Practically, focused sound shape control not a point is meaningful because there are so many needs to enlarge the focal region especially in clinical uses and others. If focused sound shape can be controlled, it offers various kinds of solutions for clinical uses and others because a regional focusing is essentially needed to reduce a treatment time and enhance the performance of transducers. For making the shaped-sound field, control variables, such as a number of sources, excitation frequency, source positioning, etc., should be taken according to geometrical sound shape. To verify these relations between them, wavenumber domain matching method is suggested because wavenumber spectrum can provide the information of control variables of sources. In this paper, the procedures of shaped sound focusing using wavenumber domain matching and relations between control variables and geometrical sound shape are covered in case of an acoustical ring.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 춘계학술대회논문집
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• pp.172-176
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• 2000

A series of preliminary experiments were carried out to quantify the annoyance are noisiness caused by floor impact noise. From the results of the experiments. the heavy impact source was found to be felt louder and noisier than the light impact source. Measurements of noise were also conducted by a diagnostic system based on the model(the model consists of the autocorrelators and the cross-correlation for signals arriving at two ear entrants) of the human auditory-brain system. Physical factors in the model were calculated by use of the ACF(autocorrelation function) and IACF(interaural cross correlation function) of binaural signals. From the ACF/IACF analysis, it was found that perceived loudness of floor impact noise could be represented by the factors of the ACF/IACF model.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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• pp.35-38
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• 2008

In this paper, study noise performance of LNA to enhance Q-factor of input circuit by patterned ground shield is inserted inductor using TSMC 0.18um. Applied LNA technology is cascode method. The input matching circuit was constituted on-chip and wirebonding inductor. Taguchi's method is used for the best suited structure of PGS. We confirmed enhancement of Q-factor by inserted PGS into inductor. The input matching circuit enhanced Q-factor by inductor with PGS improve noise figure of LNA.

• 전자공학회논문지CI
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• 제37권4호
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• pp.16-25
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• 2000

본 논문에서는 스테레오 정합 과정에서 좌우영상의 대응점(correspondence)를 구할 때 주변에 있는 화소의 변이(disparity)분포와의 경쟁을 통해 잡음에 강인한 변이 검출 알고리즘을 제안한다. 제안한 경쟁적 변이 검출 알고리즘은 스테레오 영상의 정합의 신뢰성을 높이기 위해 초기단계에서 확산과정을 통하여 정합척도(matching measure)를 집속토록 한다. 이는 정합시킬 영상 영역의 크기가 너무 작으면 잡음에 민감해지고 너무 크면 영상이 무디어 지는 단점을 보완하여 영상 영역의 크기가 확산 과정을 통해 해결되도록 한다. 두 번째 단계는 확산을 통하여 집속된 정합척도로부터 최소/최대값을 검출하는 것으로 정합척도 분포를 경쟁적으로 조절함으로써 잡음에 강인한 변이를 검출하도록 한다. 본 논문에서 제시한 방법에 의한 실험결과로부터 자연영상의 경우 정합율이 약 6.96%향상되었다. 이러한 실험결과로부터 제안한 경쟁적 변이검출 알고리즘은 기존의 변이검출 알고리즘보다 더 신뢰성있는 변이검출 방법임을 확인한다.