• Title/Summary/Keyword: 최소자승오차

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Radio Lacation using Decision Feedback Method (결정 궤환 방법을 이용한 무선측위)

  • 김유신;유흥렬;이재진
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.5A
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    • pp.801-808
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    • 2001
  • 본 논문에서는 전파의 도달시간을 이용한 이동통신 측위 시스템에서 사용되는 직접해, 최소 자승, 테일러 시리즈 그리고 찬 알고리즘의 성능을 분석하고, 각 알고리즘을 사용하여 계산된 결과를 궤환시켜 이동국의 위치를 재계산함으로써 보다 향상된 측위를 할 수 있는 결정 궤환 방법을 제안한다. 제안된 방법은 규칙 7셀 좌표와 불규칙 셀 좌표를 이용하여 이동국을 위치시킨 후, 전파의 지연시간에 따른 측위오차와 표준편차 그리고 각 알고리즘별 발산횟수를 조사하였으며, 실험결과 결정 궤환 방법을 사용하였을 경우 기존의 방법보다 향상된 성능을 보였다.

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최소자승법에 의한 입ㆍ반사파의 분리

  • 박우선;오영민;전인식;서경덕;이달수
    • Proceedings of the Korean Society of Coastal and Ocean Engineers Conference
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    • 1992.08a
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    • pp.121-125
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    • 1992
  • 입사파와 반사파의 분리는 수리모형실험에 있어서 기본적이면서도 대단히 중요한 문제이다. 최근까지 개발된 분리기법으로는 Goda and Suzuki (1976)의 2점법과 Mansard and Funke (1980)의 3점범을 들 수 있다. 2점법은 두 지점에서의 파고를 관측하여 분리하는 기법으로 두 지점사이의 거리에 따라 해가 존재하지 않는 파랑조건이 존재하며 수조에서 발생되는 횡파, 비선형 파랑상호 간섭, signal noise, 측정오차 등에 민감한 단점이 있다.(중략)

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Characteristics of Everett Function Formulated with Gaussian Distribution (가우스 분포에 의해 정식화된 에버렐 함수의 특성)

  • Hong, Sun-Ki;Kim, Hong-Kyu;Lee, Chang-Hwan;Jung, Hyun-Kyo
    • Proceedings of the KIEE Conference
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    • 1997.07a
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    • pp.15-17
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    • 1997
  • 에버�� 함수는 상호자계 축을 따라 가우스 분포를 가지므로 정식화될 수 있다. 본 연구에서는 에버렐 함수의 정식화 원리를 설명하고, 오차를 최소화하기 위해 최소 자승법을 도입한다. 이로부터 얻은 에버렐 함수로부터 히스테리시스 루프를 시뮬레이션하고, 이를 통해 제안된 방법의 타당성을 확인한다.

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사진렌즈 설계에서 SVD에 의한 감쇠최소자승법의 수렴성과 안정성

  • 김태희;김경찬
    • Korean Journal of Optics and Photonics
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    • v.6 no.3
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    • pp.178-187
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    • 1995
  • The method that determines the appropriate damping factor is studied for a lens design. When suitable damping factor is applied to the additive damped least-squares (DLS) method, the convergence and the stability of the optimization process are examined in a triplet-type photographic lens design. We calculate eigenvalues of the product of the Jacobian matrix of error functions by using the singular value decomposition (SVD) method. We adopt the median of eigenvalues as an appropriate damping factor. The convergence and the stability of the optimization process are improved by choosing the adequate damping factor for the optimization of a photographic lens. It is known that the numerical inaccuracy in the calculation of normal equation is overcome by using the orthogonal transformations of the Jacobian matrix. Therefore, a combination of the method for setting a proper damping factor and the orthogonal transformations of the Jacobian matrix is good for application to the design of an aspheric lens with high-order terms. terms.

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An Adaptive Block Matching Motion Estimation Method Using Optical Flow (광류를 이용한 적응적인 블록 정합 움직임 추정 기법)

  • Kim, Kyoung-Kyoo;Park, Kyung-Nam
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.1
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    • pp.57-67
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    • 2008
  • In this paper, we present an adaptive block matching motion estimation using optical flow. In the proposed algorithm, we calculate the temporal and spatial gradient value for each pixel value from tile differential filter, and estimate the optical flow which is used to decide the location and the size of the search region from the gradient values by least square optical flow algorithm. In particular, the proposed algorithm showed a excellent performance with fast and complex motion sequences. From the computer simulation for various motion characteristic sequences. The proposed algorithm shows a significant enhancement of PSNR over previous blocking matching algorithms.

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An time-varying acoustic channel estimation using least squares algorithm with an average gradient vector based a self-adjusted step size and variable forgetting factor (기울기 평균 벡터를 사용한 가변 스텝 최소 자승 알고리즘과 시변 망각 인자를 사용한 시변 음향 채널 추정)

  • Lim, Jun-Seok
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.3
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    • pp.283-289
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    • 2019
  • RLS (Recursive-least-squares) algorithm is known to have good convergence and excellent error level after convergence. However, there is a disadvantage that numerical instability is included in the algorithm due to inverse matrix calculation. In this paper, we propose an algorithm with no matrix inversion to avoid the instability aforementioned. The proposed algorithm still keeps the same convergence performance. In the proposed algorithm, we adopt an averaged gradient-based step size as a self-adjusted step size. In addition, a variable forgetting factor is introduced to provide superior performance for time-varying channel estimation. Through simulations, we compare performance with conventional RLS and show its equivalency. It also shows the merit of the variable forgetting factor in time-varying channels.

A New Algorithm for Determination of Reference Phases in Phase-Shifting Interferometry (위상변이간섭법에서 기준위상 결정을 위한 새로운 알고리즘 개발)

  • 한건수
    • Korean Journal of Optics and Photonics
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    • v.4 no.4
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    • pp.397-402
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    • 1993
  • This paper presents a new computational algorithm of phase-shifting interferometry which can effectively eliminate the uncertainty errors of the reference phases encountered in obtaining multiple interferograms. The algorithm treats the reference phases as additional unknowns and determines their exact values by analyzing interferograms using numerical least square technique. A series of simulations prove that this algorithm can improve measuring accuracy being unaffected by the nonlinear and random errors of phase-shifters.

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Objective Estimation of Velocity Streamfunction Field with Discretely Sampled Oceanic Data 11: with Application of Least-square Regression Analysis (객관적 분석을 통한 속도 유선함수(streamfunction) 산출 II: 최소자승 회귀분석법의 응용)

  • 조광우
    • Journal of Environmental Science International
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    • v.6 no.5
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    • pp.541-550
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    • 1997
  • A least-square regression analysis is applied for the estimation of velocity streamfunction field based on discretely sampled current meter data. The coefficients of a streamfuunction that is expanded in terms of trigonometric basis function are obtained by enforcing the horizontal non-divergence of two-dimensional flow field. This method avoids Interpolation and gives a root-mean-square (rms) residual of fit which Includes the divergent part and noisiness of oceanic data. The Implementation of the method Is done by employing a boundary-fitted, curvilinear orthogonal coordinate which facilitates the specification of boundary conditions. An application is successfully made to the Texas-Louisiana shelf using the 32 months current meter data (31 moorings) observed as a part of the Texas-Louisiana Shelf and Transport Processes Study (LATEX). The rms residual of the fitting is relatively small for the shelf, which indicates the field Is Ivell represented by the streamnfunction.

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An Array Beampattern Synthesis Using Adaptive Array Method and Partial Constrained Adaptation (최소 자승 평균오차와 부분 적응을 사용한 배열 빔 형성기법)

  • Lim Jun-Seok;Choi Nakjin;Sung Koeng-Mo;Kim Hyun-Seok
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.8
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    • pp.570-575
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    • 2004
  • In the underwater acoustic systems. we can receive signals and retrieve information about a target by using a beamforming method. The most important thing in the beamforming is finding the way to optimize the mainlobe beamwidth and the sidelobe level to the desired value. One of the prominent results of beamforming method. which has been studied. is Philip's weighting function method(1) . Philip's method adaptively adjusts its weights of array to meet the desired mainlobe beamwidth and sidelobe level. It is very similar to the design method in adaptive filter. However. this method cannot easily bring us to the desired sidelobe level due to complementary relation between mainlobe beamwidth and sidelobe level. In this paper, we propose a new algorithm using partial constrained adaptation. This method makes us circumvent the above problem and meet the specification of design easily. The proposed algorithm presents a Pattern synthesis that designer can easily control the mainlobe beamwidth and the sidelobe level to the desired value while calculation time to converge is decreasing.