Identification of Combined Power Quality Disturbances Using Singular Value Decomposition (SVD) and Total Least Squares-Estimation of Signal Parameters via Rotational Invariance Techniques (TLS-ESPRIT) [PDF]
Energies, 2017 In order to identify various kinds of combined power quality disturbances, the singular value decomposition (SVD) and the improved total least squares-estimation of signal parameters via rotational invariance techniques (TLS-ESPRIT) are combined as the ...
Huaishuo Xiao, Jianchun Wei, Qingquan Li
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Mathematics, 2021 For large-scale problems, how to establish an algorithm with high accuracy and stability is particularly important. In this paper, the Householder bidiagonalization total least squares (HBITLS) algorithm and nonlinear iterative partial least squares for ...
Zhanshan Yang, Xilan Liu
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Mathematics, 2021 This paper is devoted to the identification of the parameters of discrete fractional systems with errors in variables. Estimates of the parameters of such systems can be obtained using generalized total least squares (GTLS). A GTLS problem can be reduced
Dmitriy Ivanov, Aleksandr Zhdanov
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Sensitivity analysis of a new approach to photovoltaic parameters extraction based on the total least squares method [PDF]
Metrology and Measurement Systems, 2021 The degradation of photovoltaic modules and their subsequent loss of performance has a serious impact on the total energy generation potential. The lack of real-time information on the output power leads to additional losses since the panels may not be ...
Oumaima Mesbahi +4 more
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A statistically optimal analysis of systematic differences between Aeolus horizontal line-of-sight winds and NOAA's Global Forecast System [PDF]
Atmospheric Measurement Techniques, 2022 The European Space Agency Aeolus mission launched a first-of-its-kind spaceborne Doppler wind lidar in August 2018. To optimize the assimilation of the Aeolus Level-2B (B10) horizontal line-of-sight (HLOS) winds, significant systematic differences ...
H. Liu +7 more
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Short-Arc Horizon-Based Optical Navigation by Total Least-Squares Estimation
Aerospace, 2023 Horizon-based optical navigation (OPNAV) is an attractive solution for deep space exploration missions, with strong autonomy and high accuracy. In some scenarios, especially those with large variations in spacecraft distance from celestial bodies, the ...
Huajian Deng +3 more
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Advances in Civil Engineering, 2022 Nowadays, TLS (terrestrial laser scanning) has been a relatively mature measuring equipment categorized to indoor measuring robots, but it is not widely adopted in indoor construction measurement at present.
Zhongyue Zhang +4 more
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A Polynomial Fitting Problem: The Orthogonal Distances Method
Mathematics, 2022 The classical curve-fitting problem to relate two variables, x and y, deals with polynomials. Generally, this problem is solved by the least squares method (LS), where the minimization function considers the vertical errors from the data points to the ...
Luis Alberto Cantera-Cantera +4 more
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Performance evaluation of the Ordinary Least Square (OLS) and Total Least Square (TLS) in adjusting field data: an empirical study on a DGPS data [PDF]
South African Journal of Geomatics, 2017 Survey measurements have become the traditional means of obtaining point positions by most surveyors over the centuries. The assertion that a post processed DGPS field data is precise, accurate and can be used to execute any engineering works due to its minimum human errors need to be reviewed; this is because the post processed field data still ...
Peprah, M.S., Mensah, I.O.
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The Improvement Based on the DV-Hop Localization Algorithm for Wireless Sensor Networks
Journal of Harbin University of Science and Technology, 2018 As the problems of lower localization accuracy appeared in the traditional DV-Hop algorithm，the author analyzed three main factors that influence the localization accuracy of original DV-Hop algorithm which started from the calculation of the average ...
DONG Jing-wei +3 more
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