Results 21 to 30 of about 136,791 (265)
Application of Principal Component Analysis for Steel Material Components
Kurdistan Journal of Applied Research, 2022 In this research, we made use of the principal component analysis (PCA) technique, which is a multivariate statistical method that transforms a fixed number of correlated variables into a fixed number of orthogonal, uncorrelated axes known as principal ...
Miran Othman Tofiq +1 more
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Orthogonal simple component analysis: A new, exploratory approach
The Annals of Applied Statistics, 2011 Combining principles with pragmatism, a new approach and accompanying algorithm are presented to a longstanding problem in applied statistics: the interpretation of principal components. Following Rousson and Gasser [53 (2004) 539--555] @p250pt@ the ultimate goal is not to propose a method that leads automatically to a unique solution, but rather to ...
Anaya-Izquierdo, Karim +2 more
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Methods of Forming Orthogonal Components of Input Signals for Relay Protection
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2019 The existing frequency digital filters for allocation of the fundamental frequency of a sine signal are considered and their advantages and disadvantages are noted. Preference is given to the combined digital filter.
F. A. Romaniuk +2 more
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Adaptive Shapers of Orthogonal Signal Components for Microprocessor Protections
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2004 The paper considers adaptive shapers of orthogonal components of microprocessor protections of electrical installations. An algorithm for calculation of shapers of orthogonal signal components has been developed.
F.` A. Romanjuk, A. V. Rozhdestvensky
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A New Algorithm for Computing Disjoint Orthogonal Components in the Three-Way Tucker Model
Mathematics, 2021 One of the main drawbacks of the traditional methods for computing components in the three-way Tucker model is the complex structure of the final loading matrices preventing an easy interpretation of the obtained results.
Carlos Martin-Barreiro +5 more
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Structural Dynamics, 2019 Analysis of time-resolved data typically involves discriminating noise against the signal and extracting time-independent components and their time-dependent contributions.
H. Ki +4 more
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Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2012 The article describes principles of fulfillment of flexible formers of orthogonal input value components and possibilities of their utilization in micro-processing рrotection of рower рlants.
F. A. Romaniuk +2 more
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On the orthogonal component of BSDEs in a Markovian setting [PDF]
Statistics & Probability Letters, 2012 In this Note we consider a quadratic backward stochastic differential equation (BSDE) driven by a continuous martingale $M$ and whose generator is a deterministic function. We prove (in Theorem \ref{theorem:main}) that if $M$ is a strong homogeneous Markov process and if the BSDE has the form \eqref{BSDE} then the unique solution $(Y,Z,N)$ of the BSDE ...
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The Use of Emergency Components as Input Information Signals for Microprocessor Protection
Известия высших учебных заведений и энергетических объединенний СНГ: ЭнергетикаA technique is proposed for the formation of emergency components of current and voltage of a power transmission line by a computational experiment in the MATLAB-Simulink dynamic simulating system (DSS) in order to use them as input information signals ...
I. V. Novash +4 more
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The R Package groc for Generalized Regression on Orthogonal Components
Journal of Statistical Software, 2015 The R package groc for generalized regression on orthogonal components contains functions for the prediction of q responses using a set of p predictors.
Martin Bilodeau +2 more
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