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Analytical calculation of transformer parameters by S-parameters
2018 IEEE International Symposium on Electromagnetic Compatibility and 2018 IEEE Asia-Pacific Symposium on Electromagnetic Compatibility (EMC/APEMC), 2018This paper proposed a new methodology and dedicated algorithm to extract the parameters of transformer from S-parameters by Vector Network Analyzer (VNA) measurement. Analytical expressions of S parameters are deduced for each transformer parameter including basic and parasitic parameters based on the interconnection and transformation theory between Y/
Jianquan Lou +3 more
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Computing Single Parameter Transformations
Communications in Statistics - Simulation and Computation, 2003Abstract Four methods for computing the ‘best’ value for the single parameter of seven families of transformations are considered. The families are power, modulus, folded-power, Guerrero–Johnson, Aranda-Ordaz symmetric, Aranda-Ordaz asymmetric, and power-logit.
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Celestial Mechanics, 1985
A method to costruct Lie transforms is offered. The method is a direct generalization of \textit{A. Deprit}'s method [ibid. 1, 12-30 (1969; Zbl 0172.260)]. Full details of the theoretical problem are given only in the two-parameter case.
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A method to costruct Lie transforms is offered. The method is a direct generalization of \textit{A. Deprit}'s method [ibid. 1, 12-30 (1969; Zbl 0172.260)]. Full details of the theoretical problem are given only in the two-parameter case.
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Nonlinear transformations for parameter estimation
Industrial & Engineering Chemistry Research, 1988On effectue des transformations non lineaires dans l'estimation de parametres d'apres le modele des moindres carres, dans le cas d'une variable. On evalue une methode de comparaison de differentes transformations et on se sert de mesures de non-linearite.
David M. Espie, Sandro Macchietto
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1990
Mathematically, parameters are the unknown quantities θ in the likelihood function, L(θ), whose values \( \hat \theta \) at the optimum are regarded as giving the best fit of the model to the data. There is an unlimited number of ways of writing the same model in terms of different sets of parameters. But the reasons for a particular parametrization of
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Mathematically, parameters are the unknown quantities θ in the likelihood function, L(θ), whose values \( \hat \theta \) at the optimum are regarded as giving the best fit of the model to the data. There is an unlimited number of ways of writing the same model in terms of different sets of parameters. But the reasons for a particular parametrization of
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On parameter transformations and interval estimation
Biometrika, 1984Parameterizations which reduce the asymptotic bias and skewness of various pivotal quantities arising in large-sample theory are discussed for models depending on an unknown scalar parameter. Transformation formulae by which such parameterizations can be obtained are derived, and these formulae extend those for one-dimensional curved exponential ...
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Editorial-Parameters of transformational marketing
Journal of Marketing Management, 2010“Living and consuming are more complexly interdependent than at any other time in human history” (Mick, 2006, p. 1).
Amanda J. Broderick, Eva Kipnis
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RF Transformer Model Parameters Measurement
2007 IEEE Design and Diagnostics of Electronic Circuits and Systems, 2007The analysis and the measurement technique of the RF transformer model is presented. Transformer is used to improve the SNR of the input stages and for DC biasing through the winding inductance. The frequency range 0.1 MHz to 10 MHz utilized by the conventional ultrasound is assumed.
V. Dumbrava, L. Svilainis
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𝑘-parameter semigroups of measure-preserving transformations
Transactions of the American Mathematical Society, 1973An individual ergodic theorem is proved for semigroups of measure-preserving transformations depending on k real parameters, which generalizes N. Wiener’s ergodic theorem.
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Parameter Recovery Using Radon Transform
Proceedings of the 16th International Conference on Advances in Mobile Computing and Multimedia, 2018In computer vision, alignment of images plays an important role in different day to day life applications by bringing similar points of images into correspondence. Conventionally, images are aligned by using the extracted features of images. However, the extraction of features is difficult, time consuming and not suitable for low quality images ...
Komal Komal +3 more
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