Results 31 to 40 of about 415,219 (164)
PERFORMING IMPROVED TWO-STEP CAMERA CALIBRATION WITH WEIGHTED TOTAL LEAST-SQUARES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 In order to improve the Tsai's two-step camera calibration method, we present a camera model which accounts for major sources of lens distortion, namely: radial, decentering, and thin prism distortions.
J. Lu
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Scaled total least squares fundamentals [PDF]
Numerische Mathematik, 2002 The authors analyse a particularly useful formulation of the scaled total least squares problem. The analysis is based on a new assumption that guarantees existence and uniqueness of meaningful solution for real positive parameters. The proposed in the paper theoretical considerations complex data are allowed.
Christopher C. Paige, Zdenek Strakos
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Condition numbers of the mixed least squares-total least squares problem revisited
Linear and Multilinear Algebra, 2022 20 ...
Qiaohua Liu, Qian Zhang, Dongmei Shen
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Energies, 2019 This paper deals with the use of least mean squares (LMS, NLMS) and recursive least squares (RLS) algorithms for total harmonic distortion (THD) reduction using shunt active power filter (SAPF) control.
Radek Martinek +4 more
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Total Least Squares Approach to Modeling: A Matlab Toolbox [PDF]
Acta Montanistica Slovaca, 2010 This paper deals with a mathematical method known as total least squares or orthogonal regression or error-in-variables method.The mentioned method can be used for modeling of static and also dynamic processes.
Ivo Petráš, Dagmar Bednárová
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Comparison of straight line curve fit approaches for determining parameter variances and covariances
International Journal of Metrology and Quality Engineering, 2020 Pressure balances are known to have a linear straight line equation of the form y = ax + b that relates the applied pressure x to the effective area y, and recent work has investigated the use of Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
Ramnath Vishal
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Regularization Total Least Squares and Randomized Algorithms
MathematicsIn order to achieve an effective approximation solution for solving discrete ill-conditioned problems, Golub, Hansen, and O’Leary used Tikhonov regularization and the total least squares (TRTLS) method, where the bidiagonal technique is considered to ...
Zhanshan Yang, Xilan Liu, Tiexiang Li
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Scaled weighted total least-squares adjustment for partial errors-in-variables model
Journal of Geodetic Science, 2016 Scaled total least-squares (STLS) unify LS, Data LS, and TLS with a different choice of scaled parameter. The function of the scaled parameter is to balance the effect of random error of coefficient matrix and observation vector for the estimate of ...
Zhao J.
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A Contribution to the Conditioning of the Total Least-Squares Problem [PDF]
SIAM Journal on Matrix Analysis and Applications, 2011 We derive closed formulas for the condition number of a linear function of the total least squares solution. Given an over determined linear system Ax=b, we show that this condition number can be computed using the singular values and the right singular vectors of [A,b] and A.
Baboulin, Marc, Gratton, Serge
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On the condition number of the total least squares problem [PDF]
Numerische Mathematik, 2013 27 pages, 2 figures.
Zhongxiao Jia, Bingyu Li
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