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
doaj +1 more source
A Polynomial Fitting Problem: The Orthogonal Distances Method
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
doaj +1 more source
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]
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.
openaire +2 more sources
The Improvement Based on the DV-Hop Localization Algorithm for Wireless Sensor Networks
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
Weighted Total Least Squares (WTLS) Solutions for Straight Line Fitting to 3D Point Data
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
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling [PDF]
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
An improved mixed total least squares method for strain inversion from distance changes
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
Total Least Squares (TLS) im Kontext der Ausgleichung nach kleinsten Quadraten am Beispiel der ausgleichenden Geraden [PDF]
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
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
Model estimation of cerebral hemodynamics between blood flow and volume changes: a data-based modeling approach [PDF]
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

