Results 31 to 40 of about 402,484 (165)
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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On Weighted Structured Total Least Squares [PDF]
In this contribution we extend our previous results on the structured total least squares problem to the case of weighted cost functions. It is shown that the computational complexity of the proposed algorithm is preserved linear in the sample size when the weight matrix is banded with bandwidth that is independent of the sample size.
Markovsky, Ivan, Van Huffel, Sabine
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Weighted total least squares formulated by standard least squares theory [PDF]
Weighted total least squares formulated by standard least squares theoryThis contribution presents a simple, attractive, and flexible formulation for the weighted total least squares (WTLS) problem. It is simple because it is based on the well-known standard least squares theory; it is attractive because it allows one to directly use the existing body ...
A. Amiri-Simkooei, S. Jazaeri
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Total Least Squares Approach to Modeling: A Matlab Toolbox [PDF]
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
doaj
Comparison of straight line curve fit approaches for determining parameter variances and covariances
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
In 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
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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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
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Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from sensors, which degrades the modeling ...
Xinghao Du +6 more
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