Improved Total Least Square Algorithm [PDF]
The Open Civil Engineering Journal, 2015 Aim to blemish of total least square algorithm based on error equation of virtual observation,this paper proposed a sort of improved algorithm which doesn’t neglect condition equation of virtual observation,and considers both error equation and condition equation of virtual observation.So,the improved algorithm is better.Finally,this paper has fitted a
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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
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Image Reconstruction Algorithm Based on Total Least Squares Target Correction for ECT. [PDF]
Comput Intell Neurosci, 2021 Wang L, Lv H, Chen D, Yang H, Li M.
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Implicitly-weighted total least squares
Linear Algebra and its Applications, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Park, Sungwoo, O’Leary, Dianne P.
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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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Implications of Nonstationary Effect on Geographically Weighted Total Least Squares Regression for PM2.5 Estimation. [PDF]
Int J Environ Res Public Health, 2021 Mokhtari A, Tashayo B, Deilami K.
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Deformation analysis by an improved similarity transformation
Applied Computing and GeosciencesIn this contribution, deformation analysis is rigorously performed by a non-linear 3-D similarity transformation. In contrast to traditional methods based on linear least-squares (LLS), here we solve a non-linear problem without any linearization.
Vahid Mahboub
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Identification of the Fractional-Order Systems: A Frequency Domain Approach [PDF]
Acta Montanistica Slovaca, 2011 The paper deals with a comparison of different optimization methods to identification of fractional order dynamical systems.The fractional models of the examples of physical systems - ultracapacitors - are established.
Andrzej Dzieliński +5 more
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Dust Removal from 3D Point Cloud Data in Mine Plane Areas Based on Orthogonal Total Least Squares Fitting and GA-TELM. [PDF]
Comput Intell Neurosci, 2021 Wang J, Zhang H, Gao J, Xiao D.
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Computational Experiments on the Tikhonov Regularization of the Total Least Squares Problem [PDF]
Computer Science Journal of Moldova, 2009 In this paper we consider finding meaningful solutions of ill-conditioned overdetermined linear systems Ax≈b, where A and b are both contaminated by noise. This kind of problems frequently arise in discretization of certain integral equations. One of the
Maziar Salahi, Hossein Zareamoghaddam
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