• 제목/요약/키워드: Perturbation

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연속모음에서의 Electroglottograph 신호해석에 의한 후두기능 평가 (Layngeal Function Assessment by Electroglottographic Signal Analysis during Sustained Vowel Phonation)

  • 송철규;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1994년도 춘계학술대회
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    • pp.79-81
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    • 1994
  • Petubation in the fundamental frequency and in the peak amplitude of the EGG signal derived with a four-electrode EGG system were investigated for the purpose of developing useful measures for the detection of layngeal pathology. The data were compared to the degree of amplitude perturbation and frequency perturbation. There was a close relation between amplitude perturbation and frequency perturbation analysis of EGG signal and degree of laryngeal pathology.

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ANISOTROPY OF CMBR AND GAUGE INVARIANT COSMIC PERTURBATION THEORIES - SOME AMBIGUITIES AND PROBLEMS

  • XU CHONGMING;WU XUEJUN
    • 천문학회지
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    • 제29권spc1호
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    • pp.17-18
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    • 1996
  • COBE's results on the anisotropy of the cosmic microwave background radiation (CMBR) is discussed. Some ambiguities in the linear GI cosmic perturbation theory are clarified. The problem of the last scattering surface and the deficiencies of the linear cosmic perturbation theory are mentioned. The possible ways to overcome the theoretical difficulties are discussed also.

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On the Logistic Regression Diagnostics

  • Kim, Choong-Rak;Jeong, Kwang-Mo
    • Journal of the Korean Statistical Society
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    • 제22권1호
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    • pp.27-37
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    • 1993
  • Since the analytic expression for a diagnostic in the logistic regression model is not available, one-step estimation is often used by a case-deletion point of view. In this paper, infinitesimal perturbation approach is used, and it is shown that the scale transformation of infinitesimal perturbation approach is eventually equal to the weighted perturbation of local influence approach and the replacement measure. Also, multiple cases deletion for the masking effect is considered.

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SOLUTION OF A NONLINEAR EQUATION WITH RIEMANN-LIOUVILLES FRACTIONAL DERIVATIVES BY HOMOTOPY PERTURBATION METHOD

  • Mohyud-Din, Syed Tauseef;Yildirim, Ahmet
    • Journal of applied mathematics & informatics
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    • 제29권1_2호
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    • pp.55-60
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    • 2011
  • The aim of the paper is to apply Homotopy Perturbation Method (HPM) for the solution of a nonlinear fractional differential equation. Finally, the solution obtained by the Homotopy perturbation method has been numerically evaluated and presented in the form of tables and then compared with those obtained by truncated series method. A good agreement of the results is observed.

Performance Improvement of a Modified Perturbation Method via a Least Square Approach for Sensor Arrays

  • Chang, Byong-Kun
    • The Journal of the Acoustical Society of Korea
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    • 제18권4E호
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    • pp.37-42
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    • 1999
  • This paper concerns a modified perturbation method and a least square approach to synthesize an optimum beam pattern of a thinned sensor array with respect to element spacing. In the modified perturbation, the antenna spacing is perturbed iteratively such that the sidelobes are equalized via a linear programming approach. The least square approach is proposed to improve the array performance for the thinned array using the fact that the number of sidelobes is more than the number of element spacings. It is demonstrated that the least square approach performs better than the modified perturbation method.

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THE CONVERGENCE OF HOMOTOPY METHODS FOR NONLINEAR KLEIN-GORDON EQUATION

  • Behzadi, Shadan Sadigh
    • Journal of applied mathematics & informatics
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    • 제28권5_6호
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    • pp.1227-1237
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    • 2010
  • In this paper, a Klein-Gordon equation is solved by using the homotopy analysis method (HAM), homotopy perturbation method (HPM) and modified homotopy perturbation method (MHPM). The approximation solution of this equation is calculated in the form of series which its components are computed easily. The uniqueness of the solution and the convergence of the proposed methods are proved. The accuracy of these methods are compared by solving an example.

Bayesian Estimation of the Normal Means under Model Perturbation

  • Kim, Dal-Ho;Han, Seung-Cheol
    • Journal of the Korean Data and Information Science Society
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    • 제17권3호
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    • pp.1009-1019
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    • 2006
  • In this paper, we consider the simultaneous estimation problem for the normal means. We set up the model structure using the several different distributions of the errors for observing their effects of model perturbation for the error terms in obtaining the empirical Bayes and hierarchical Bayes estimators. We compare the performance of those estimators under model perturbation based on a simulation study.

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Smoothed Perturbation Analysis for Performance Measures in a Markov Renewal Process

  • Park, Heung-Sik
    • Journal of the Korean Statistical Society
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    • 제25권3호
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    • pp.445-456
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    • 1996
  • In this paper, we derive unbiased estimators for the sensitivities of expected performance measures in a Markov renewal process. We restrict our derivation to the performance measures during a busy cycle and apply smoothed perturbation analysis method to find those esti-mators. The results show all the terms in the derived estimators can be obtained from a single sample path.

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