Results 21 to 30 of about 61,800 (289)
Metrology and Measurement Systems, 2023 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
semanticscholar +1 more source
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
doaj +1 more source
Environmetrics, 2023 Regression‐based “fingerprinting” methods in climate science employ total least squares (TLS) or orthogonal regression to remedy attenuation bias arising from measurement error due to reliance on climate model‐generated explanatory variables. Proving the
Ross McKitrick
semanticscholar +1 more source
Weighted Total Least Squares (WTLS) Solutions for Straight Line Fitting to 3D Point Data
Mathematics, 2020 In this contribution the fitting of a straight line to 3D point data is considered, with Cartesian coordinates xi, yi, zi as observations subject to random errors.
Georgios Malissiovas +3 more
doaj +1 more source
An improved mixed total least squares method for strain inversion from distance changes
Geodesy and Geodynamics, 2016 Based on the deficiency of the traditional total least squares method (TLS) in the field of geodetic inversion, the mixed error characteristics of the errors in variables (EIV) model were analyzed by considering the distance azimuth measurement error in ...
Zhiping Liu, Sida Li, Hefang Bian
doaj +1 more source
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling [PDF]
, 2010 Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data vector as well as in the regression matrix.
Geert Leus +4 more
core +1 more source
Model estimation of cerebral hemodynamics between blood flow and volume changes: a data-based modeling approach [PDF]
, 2008 It is well known that there is a dynamic relationship between cerebral blood flow (CBF) and cerebral blood volume (CBV). With increasing applications of functional MRI, where the blood oxygen-level-dependent signals are recorded, the understanding and ...
Billings, S.A. +6 more
core +2 more sources
Total Least Squares (TLS) im Kontext der Ausgleichung nach kleinsten Quadraten am Beispiel der ausgleichenden Geraden [PDF]
ZFV (Augsburg), 2008 In diesem Beitrag wird eine ausgleichende Gerade in der Ebene behandelt, bei der beide Koordinatenkomponenten mit zufälligen Fehlern behaftete Messgrößen sind. Es wird gezeigt, dass eine sachgerechte Anwendung der Methode der kleinsten Quadrate dasselbe Ergebnis liefert wie die entsprechende Anwendung von Total Least Squares (TLS), da in beiden Fällen ...
Neitzel, F., Petrovic, S.
openaire +4 more sources
Generalized eigenvalue approach for dynamic mode decomposition
AIP Advances, 2021 Traditional dynamic mode decomposition (DMD) methods inevitably involve matrix inversion, which often brings in numerical instability and spurious modes.
Wei Zhang, Mingjun Wei
doaj +1 more source
Efficient Total Least Squares State and Parameter Estimation for Differentially Flat Systems [PDF]
, 2016 This paper proposes an efficient framework for the total least squares (TLS) estimation of differentially flat system states and parameters. Classical ordinary least squares (OLS) estimation assumes: (i) that only the dependent (i.e., output) signals are
Fathy, H +4 more
core +1 more source