• Title/Summary/Keyword: uniform sampling

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Low-Sampling Rate UWB Channel Characterization and Synchronization

  • Maravic, Irena;Kusuma, Julius;Vetterli, Martin
    • Journal of Communications and Networks
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    • v.5 no.4
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    • pp.319-327
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    • 2003
  • We consider the problem of low-sampling rate high-resolution channel estimation and timing for digital ultrawideband (UWB) receivers. We extend some of our recent results in sampling of certain classes of parametric non-bandlimited signals and develop a frequency domain method for channel estimation and synchronization in ultra-wideband systems, which uses sub-Nyquist uniform sampling and well-studied computational procedures. In particular, the proposed method can be used for identification of more realistic channel models, where different propagation paths undergo different frequency-selective fading. Moreover, we show that it is possible to obtain high-resolution estimates of all relevant channel parameters by sampling a received signal below the traditional Nyquist rate. Our approach leads to faster acquisition compared to current digital solutions, allows for slower A/D converters, and potentially reduces power consumption of digital UWB receivers significantly.

A Study on Human Body Tracking Method for Application of Smartphones (스마트폰 적용을 위한 휴먼 바디 추적 방법에 대한 연구)

  • Kim, Beom-yeong;Choi, Yu-jin;Jang, Seong-wook;Kim, Yoon-sang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.465-469
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    • 2017
  • In this paper we propose a human body tracking method for application of smartphones. The conventional human body tracking method is divided into a sensor-based method and a vision-based method. The sensor-based methods have a weakness in that tracking accuracy is low due to cumulative error of position information. The vision-based method has no cumulative error, but it requires reduction of the computational complexity for application of smartphone. In this paper we use the improved HOG algorithm as a human body tracking method for application of smartphone. The improved HOG algorithm is implemented through downsampling and frame sampling. Gaussian pyramid is applied for downsampling, and uniform sampling is applied for frame sampling. We measured the proposed algorithm on two devices, four resolutions, and four frame sampling intervals. We derive the best detection rate among downsampling and frame sampling parameters that can be applied in realtime.

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A minimum cost sampling inspection plan for destructive testing (破壤檢査詩의 最小費용 샘플링 檢査方式)

  • 趙星九;裵道善
    • Journal of the Korean Statistical Society
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    • v.7 no.1
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    • pp.27-43
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    • 1978
  • This paper deals with the problem of obtaining a minimum cost acceptance sampling plan for destructive testing. The cost model is constructed under the assumption that the sampling procedure takes the following form; 1) lots rejected on the first sample are acreened with a non-destructive testing, 2) the screening is assumed to be imperfect, and therefore, after the screening, a second sample is taken to determine whether to accept the lot of to scrap it. The usual sampling procedures for destructive testing can be regarded as special cases of the above one. Utilizing Hald's Bayesian approach, procedures for finding the global optimal sampling plans are given. However, when the lot size is large, the global plan is very different to obtain even with the aid of an electronic computer. Therefore a method of finding suboptimal plan is suggested. An example with uniform prior is also given.

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Bayesian Estimation via the Griddy Gibbs Sampling for the Laplacian Autoregressive Time Series Model

  • Young Sook Son;Sinsup Cho
    • Communications for Statistical Applications and Methods
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    • v.2 no.2
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    • pp.115-125
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    • 1995
  • This paper deals with the Bayesian estimation for the NLAR(1) model with Laplacian marginals. Assuming the independent uniform priors for two parameters of the NLAT(1) model, the griddy Gbbs sampler by Ritter and Tanner(1992) is used to obtain the Bayesian estimates. Random numbers generated form the uniform priors ate used as the grids for each parameter. Some simulations are conducted and compared with the maximum likelihood estimation result.

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Accelerated Life Tests under Uniform Stress Distribution (스트레스함수가 균등분포인 가속수명시험)

  • 원영철
    • Journal of the Korea Safety Management & Science
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    • v.2 no.2
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    • pp.71-83
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    • 2000
  • This paper presents accelerated life tests for Type I censoring data under probabilistic stresses. Probabilistic stress, $S_j$, is the random variable for stress influenced by test environments, test equipments, sampling devices and use conditions. The hazard rate, ,$theta_j$, is the random variable of environments and the function of probabilistic stress. Also it is assumed that the general stress distribution is uniform, the life distribution for the given hazard rate, $\theta$, is exponential and inverse power law model holds. In this paper, we obtained maximum likelihood estimators of model parameters and the mean life in use stress condition.

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A Study on the Economical Design of Sampling Inspection Method by Attribute (계수선별형 샘플링검사의 경제성에 관한 연구)

  • 김진수;권혁윤
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.20 no.41
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    • pp.147-156
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    • 1997
  • This Study deals with the problem of determining a minimum cost sampling inspection plan for destructive testing by attribute. The linear cost model(LCM) is constructed under the assumption that unit cost, destructive testing cost, producer's risk cost, consumer's risk cost are given. For the solution from the LCM, we assumed the uniform distribution as a prior distribution.

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A Study on the Economical Design of Sampling Inspection Plan by Attribute (계수선별형(計數選別型) 샘플링검사(檢査)의 경제성(經濟性)에 관한 연구(硏究))

  • Lee, Byeong-Geun;Jeon, Jae-Gyeong
    • Journal of Korean Society for Quality Management
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    • v.13 no.2
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    • pp.48-55
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    • 1985
  • This paper intends to decide the optimum OC curves and to find the minimized ${\alpha}$, ${\beta}$-risk based upon the Linear Cost Model (L.C.M.) for the destructive or nondestructive acceptance sampling inspection plan. For the solution from the L.C.M., we assume the uniform distribution as a Prior-distribution and use numerical analysis by computer.

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A Study on the Determination of a Minimum Cost Sampling Inspection Plan for Destructive Testing (파괴검사(破壞檢査)에 있어서의 최소비용(最少費用) 샘플링 검사방식(檢査方式)의 결정(決定)에 관한 연구(硏究) - 계수파괴(計數破壞) 1회검사(回檢査)를 중심(中心)으로 -)

  • Hwang, Ui-Cheol;Jeong, Yeong-Bae
    • Journal of Korean Society for Quality Management
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    • v.8 no.2
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    • pp.15-22
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    • 1980
  • This paper deals with the problem of determining a minimum cost sampling inspection plan for a single destructive testing by attribute. The cost for inspection lot is constructed by following three cost factors: (1) cost of inspection, (2) cost of accepted defective, (3) cost of rejected lot Using Hald's Bayesian approach in a single non-destructive testing, procedure's for finding the minimum cost single destructive sampling inspection plan by attribute are given. Assuming the uniform distribution as a prior-distribution and using numerical analysis by computer, a minimum cost single destructive sampling inspection plan by attribute for several lot sizes, unit cost, destructive testing cost, and salvage cost is given.

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Correspondence Matching of Stereo Images by Sampling of Planar Region in the Scene Based on RANSAC (RANSAC에 기초한 화면내 평면 영역 샘플링에 의한 스테레오 화상의 대응 매칭)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.242-249
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    • 2011
  • In this paper, the correspondence matching method of stereo images was proposed by means of sampling projective transformation matrix in planar region of scene. Though this study is based on RANSAC, it does not use uniform distribution by random sampling in RANSAC, but use multi non-uniform computed from difference in positions of feature point of image or templates matching. The existing matching method sampled that the correspondence is presumed to correct by use of the condition which the correct correspondence is almost satisfying, and applied RANSAC by matching the correspondence into one to one, but by sampling in stages in multi probability distribution computed for image in the proposed method, the correct correspondence of high probability can be sampled among multi correspondence candidates effectively. In the result, we could obtain many correct correspondence and verify effectiveness of the proposed method in the simulation and experiment of real images.

Modeling of blend surfaces by Non Uniform B-spline surface patches (Non Uniform B-spline(NUB) 곡면에 의한 블랜드 곡면의 모델링)

  • Yoo, Woo-Sik;Jeong, Hoi-Min
    • Journal of Korean Institute of Industrial Engineers
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    • v.26 no.2
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    • pp.95-100
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    • 2000
  • Presented in this paper is a scheme for constructing ball rolling blends of a non-uniform B-spline surface(NUBS) patches. Ball rolling blending is a popular technique for blending between parametric surfaces. Along the "common edge" of a pair of "base surfaces" to be blended, a sequence of "ball positions" is sampled. The radius of the ball may vary along the line. At each sampling point, a ball center point and a pair of ball contact points are computed by applying a Jacobian inversion method. Using ball contact points, the constructing scheme of blend NUBS patches consists three steps; 1) determination of intermediate control vertices; 2) determination of boundary vectors; 3) determination of B-spline control vertices. The proposed blending scheme has been tested in a Omega CAM system and found to be working satisfactorily.

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