Results 21 to 30 of about 1,514,703 (285)
Total Least Squares Registration of 3D Surfaces
International Journal of Environment and Geoinformatics, 2015 Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of co-registration is to merge the overlapping point clouds by estimating the spatial transformation parameters.
Umut Aydar, M. Orhan Altan
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Robust Total Least Squares Estimation Method for Uncertain Linear Regression Model
Mathematics, 2023 In data analysis and modeling, least squares and total least squares are both mathematical optimization techniques. It is noteworthy that both the least squares method and the total least squares method are used to deal with precise and random data ...
Hongmei Shi +4 more
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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
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Properties of the total least squares estimation
Geodesy and Geodynamics, 2012 Through theoretical derivation, some properties of the total least squares estimation are found. The total least squares estimation is the linear transformation of the least squares estimation, and the total least squares estimation is unbiased.
Wang Leyang
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General Total Least Squares Theory for Geodetic Coordinate Transformations
Applied Sciences, 2020 Datum transformations are a fundamental issue in geodesy, Global Positioning System (GPS) science and technology, geographical information science (GIS), and other research fields.
Yuxin Qin +3 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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Total Least Squares Phase Retrieval
IEEE Transactions on Signal Processing, 2022 We address the phase retrieval problem with errors in the sensing vectors. A number of recent methods for phase retrieval are based on least squares (LS) formulations which assume errors in the quadratic measurements. We extend this approach to handle errors in the sensing vectors by adopting the total least squares (TLS) framework that is used in ...
Gupta, Sidharth +2 more
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A Gauss--Newton iteration for Total Least Squares problems [PDF]
, 2017 The Total Least Squares solution of an overdetermined, approximate linear equation $Ax \approx b$ minimizes a nonlinear function which characterizes the backward error.
Fasino, Dario, Fazzi, Antonio
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Geoplanning: Journal of Geomatics and Planning, 2016 Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors. The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan +3 more
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Nonlinear total least-squares variance component estimation for GM(1,1) model
Geodesy and Geodynamics, 2021 The solution of the grey model (GM(1,1) model) generally involves equal-precision observations, and the (co)variance matrix is established from the prior information.
Leyang Wang, Jianqiang Sun, Qiwen Wu
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