Results 61 to 70 of about 402,484 (165)
Algorithms and statistical analysis for linear structured weighted total least squares problem
Geodesy and GeodynamicsWeighted total least squares (WTLS) have been regarded as the standard tool for the errors-in-variables (EIV) model in which all the elements in the observation vector and the coefficient matrix are contaminated with random errors.
Jian Xie +4 more
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Coding Prony’s method in MATLAB and applying it to biomedical signal filtering
BMC Bioinformatics, 2018 Background The response of many biomedical systems can be modelled using a linear combination of damped exponential functions. The approximation parameters, based on equally spaced samples, can be obtained using Prony’s method and its variants (e.g.
A. Fernández Rodríguez +5 more
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An Introduction to Total Least Squares
, 1996 The method of ``Total Least Squares'' is proposed as a more natural way (than ordinary least squares) to approximate the data if both the matrix and and the right-hand side are contaminated by ``errors''. In this tutorial note, we give a elementary unified view of ordinary and total least squares problems and their solution.
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Description of behavior of national economies in state space [PDF]
Acta Montanistica Slovaca, 2008 This paper deals with analysis of behavior of national economies by using the total least squares method. National economies are described in state space of the following variables: gross domestic product, inflation, and unemployment.
Ivo Petráš +2 more
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Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements
International Journal of Distributed Sensor Networks, 2011 The TDOA-based source localization problem in sensor networks is considered with sensor node location uncertainty. A total least squares (TLSs) algorithm is developed by a linear closed-form solution for this problem, and the uncertainty of the sensor ...
Yang Weng, Wendong Xiao, Lihua Xie
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Partial total least squares algorithm
Journal of Computational and Applied Mathematics, 1990 The paper contains a detailed description of a subroutine, PTLS (partial total least squares), for the total least squares (TLS) solution of the overdetermined system of linear equations \(AX=B\) by using a partial singular value decomposition. It is claimed that the computational efficiency is improved by a factor of about two over the classical TLS ...
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Graph-based Learning under Perturbations via Total Least-Squares. [PDF]
IEEE Trans Signal Process, 2020 Ceci E +3 more
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An Approach to the Total Least Squares Method for Symmetric Triangular Fuzzy Numbers
MathematicsThe total least squares method has a broad applicability in many fields. It is also useful in fuzzy data analysis. In this paper, we study the method of total least squares for fuzzy variables. The regression parameters are considered to be crisp. First,
Marius Giuclea, Costin-Ciprian Popescu
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Estimation and Prediction of Vertical Deformations of Random Surfaces, Applying the Total Least Squares Collocation Method. [PDF]
Sensors (Basel), 2020 Wiśniewski Z, Kamiński W.
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Dynamic Total Linear Least Squares
IFAC Proceedings Volumes, 1994 Abstract The relationships between linear least squares (equation error), total linear least squares (errors-in-variables) and the Frisch scheme are well understood for the static case. For the dynamic case, much work has been done to explore similar relationships.
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