• 제목/요약/키워드: Normalized Estimator

검색결과 25건 처리시간 0.017초

정규화 추정기에 의한 안정한 적응 입출력 선형화 제어기의 설계 및 수렴특성에 관한 연구 (On Stable Adaptive Input-Output Linearizing Controller Design Using Normalized Estimator and Convergence Characteristics)

  • 이만형;백운보
    • 대한기계학회논문집
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    • 제16권9호
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    • pp.1722-1727
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    • 1992
  • 본 연구에서는 이러한 불확실한 시스템에 대하여 정규화 형태의 추정기를 적 용한 적응 입출력 선형화 제어기의 설계에 대해 연구하였으며, 신호 성장속도(signal growth rates)의 개념을 도입하여 안정성을 해석하였다. 정규화 형태의 추정기를 적 용함으로써 큰 불확실성에 대해 보다 안정한 수렴 특성을 얻을 수 있음을 시뮬레이션 을 통해 보였다.

A Note on Eigenstructure of a Spatial Design Matrix In R1

  • Kim Hyoung-Moon;Tarazaga Pablo
    • Communications for Statistical Applications and Methods
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    • 제12권3호
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    • pp.653-657
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    • 2005
  • Eigenstructure of a spatial design matrix of Matheron's variogram estimator in $R^1$ is derived. It is shown that the spatial design matrix in $R^1$ with n/2$\le$h < n has a nice spectral decomposition. The mean, variance, and covariance of this estimator are obtained using the eigenvalues of a spatial design matrix. We also found that the lower bound and the upper bound of the normalized Matheron's variogram estimator.

정규화 포락선 검파기와 얼리-레이트 필터를 적용한 새로운 홉 타이밍 예측기 (A New Hop-Timing Estimator with a Normalized Envelop Detector and an Early-Late Filter)

  • 이주형
    • 한국통신학회논문지
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    • 제32권4C호
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    • pp.355-361
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    • 2007
  • 본 논문에서 정규화 포락선 검파 기법(NED ; Normalized Envelop Detection)과 얼리-레이트 필터(ELF ; Early-Late Filter)가 적용된 새로운 홉 타이밍 예측기를 제안하였다. 제안한 구조의 성능 검증을 위해 컴퓨터 시뮬레이션으로 제안한 시스템과 기존 시스템의 동기 오차 측정 결과를 비교하였다. 시뮬레이션 결과를 통해서 부분 대역 재밍 환경에서 제안 구조가 기존 구조보다 정확하게 동기오차를 예측하는 것을 확인할 수 있었으며, 이러한 경향은 $E_b/N_j$와 재밍점유대역비(rho)가 낮을수록 더욱 뚜렷하였다.

최소절대값 상태추정에 의한 전력계통 선로 토폴로지 에러의 추정 (Estimation of Branch Topology Errors in Power Networks by WLAN State Estimation)

  • 김홍래;송경빈
    • 대한전기학회논문지:전력기술부문A
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    • 제49권6호
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    • pp.259-265
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    • 2000
  • The purpose of this paper is to detect and identify topological errors in order to maintain a reliable database for the state estimator. In this paper, a two stage estimation procedure is used to identify the topology errors. At the first stage, the WSAV state estimator which has characteristics to remove bad data during the estimation procedure is run for finding out the suspected branches at which topology errors take place. The resulting residuals are normalized and the measurements with significant normalized residuals are selected. A set of suspected branches is formed based on these selected measurements; if the selected measurement is a line flow, the corresponding branch is suspected; if it is an injection, then all the branches connecting the injection bus to its immediate neighbors are suspected. A new WLAV state estimator adding the branch flow errors in the state vector is developed to identify the branch topology errors. Sample cases of single topology error and topology error with a measurement error are applied to IEEE 14 bus test system.

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Simultaneous Estimation of Poisson Means

  • Lee, Seung-Ho
    • 한국수학교육학회지시리즈A:수학교육
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    • 제23권1호
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    • pp.45-50
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    • 1984
  • A problem of estimating the means of Poisson populations using independent samples is considered. The total loss is the sum of component, normalized squared error losses. An empirical Bayes estimator is derived and compared, by Monte Carlo methods, with existing estimators which are proposed as improving estimators upon the usual one. Monte Carlo results show that the performance of the derived estimator is satisfactory over the whole parameter space.

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Goodness-of-fit Test for the Weibull Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok;Han, Jun-Tae
    • Communications for Statistical Applications and Methods
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    • 제16권2호
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    • pp.349-361
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    • 2009
  • In this paper, we derive the approximate maximum likelihood estimators of the shape parameter and the scale parameter in a Weibull distribution under multiply Type-II censoring by the approximate maximum likelihood estimation method. We develop three modified empirical distribution function type tests for the Weibull distribution based on multiply Type-II censored samples. We also propose modified normalized sample Lorenz curve plot and new test statistic.

Goodness-of-fit Test for the Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok;Cho, Young-Seuk;Han, Jun-Tae
    • Journal of the Korean Data and Information Science Society
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    • 제19권4호
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    • pp.1441-1448
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    • 2008
  • We propose the modified quantile-quantile (Q-Q) plot using the approximate maximum likelihood estimators and the modified normalized sample Lorenz curve (NSLC) plot for the extreme value distribution based on multiply Type-II censored samples. Using two example data sets, we picture the modified Q-Q plot and the modified NSLC plot.

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A Composite LMMSE Channel Estimator for Spectrum-Efficient OFDM Transmit Diversity

  • Seo, Jeong-Wook;Jeon, Won-Gi;Paik, Jong-Ho;Jo, Min-Ho;Kim, Dong-Ku
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제2권4호
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    • pp.209-221
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    • 2008
  • In this paper, we propose a subcarrier allocation method and a composite linear minimum mean square error (LMMSE) channel estimator to increase spectrum efficiency in orthogonal frequency division multiplexing (OFDM) transmit diversity. The pilot symbols for OFDM transmit (Alamouti) diversity are exclusively allocated in two OFDM symbols in different antennas, which causes serious degradation of spectrum efficiency. To reduce the number of pilot symbols, our subcarrier allocation method uses repetition-coded data symbols, and the proposed channel estimator maintains good bit error rate (BER) performance.

An Improvement of UMP-BP Decoding Algorithm Using the Minimum Mean Square Error Linear Estimator

  • Kim, Nam-Shik;Kim, Jae-Bum;Park, Hyun-Cheol;Suh, Seung-Bum
    • ETRI Journal
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    • 제26권5호
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    • pp.432-436
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    • 2004
  • In this paper, we propose the modified uniformly most powerful (UMP) belief-propagation (BP)-based decoding algorithm which utilizes multiplicative and additive factors to diminish the errors introduced by the approximation of the soft values given by a previously proposed UMP BP-based algorithm. This modified UMP BP-based algorithm shows better performance than that of the normalized UMP BP-based algorithm, i.e., it has an error performance closer to BP than that of the normalized UMP BP-based algorithm on the additive white Gaussian noise channel for low density parity check codes. Also, this algorithm has the same complexity in its implementation as the normalized UMP BP-based algorithm.

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재귀적 지연추정기를 갖는 적응잡음제거 기법을 이용한 음성개선 (Speech Enhancement Using the Adaptive Noise Canceling Technique with a Recursive Time Delay Estimator)

  • 강해동;배근성
    • 전자공학회논문지B
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    • 제31B권7호
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    • pp.33-41
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    • 1994
  • A single channel adaptive noise canceling (ANC) technique with a recursive time delay estimator (RTDE) is presented for removing effects of additive noise on the speech signal. While the conventional method makes a reference signal for the adaptive filter using the pitch estimated on a frame basis from the input speech, the proposed method makes the reference signal using the delay estimated recursively on a sample-by-sample basis. As the RTDEs, the recursion formulae of autocorrelation function (ACF) and average magnitude difference function (AMDF) are derived. The normalized least mean square (NLMS) and recursive least square (RLS) algorithms are applied for adaptation of filter coefficients. Experimental results with noisy speech demonstrate that the proposed method improves the perceived speech quality as well as the signal-to-noise ratio and cepstral distance when compared with the conventional method.

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