A note on the condition number of the scaled total least squares problem
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DOI: 10.1007/s10092-018-0289-9
Abstract: In this paper, we show that the normwise condition number of the scaled total least squares problem can be transformed into a new and compact form. Considering the relationship between the scaled total least squares… read more here.
Keywords: squares problem; condition number; total least; least squares ... See more keywords
The revisited total least squares problems with linear equality constraint
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DOI: 10.1016/j.apnum.2019.11.021
Abstract: Abstract The total least squares problem with linear equality constraint is proved to be approximated by an unconstrained total least squares problem with a large weight on the constraint. A criterion for choosing the weighting… read more here.
Keywords: equality constraint; linear equality; total least; least squares ... See more keywords
The Constrained Total Least Squares Solution for Virtual Reference Feedback Tuning
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DOI: 10.1016/j.ifacol.2020.12.2259
Abstract: Abstract Virtual Reference Feedback Tuning (VRFT) is a direct data-driven control design method employed to tune a controller’s parameters aiming to achieve a prescribed closed-loop performance. Its primary formulation leads to a biased estimate in… read more here.
Keywords: reference feedback; constrained total; least squares; total least ... See more keywords
Constrained total least squares method using TDOA measurements for jointly estimating acoustic emission source and wave velocity
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DOI: 10.1016/j.measurement.2021.109758
Abstract: Abstract The measurements of time-difference-of-arrival (TDOA) and wave velocity have significant influence on localization accuracy. To reduce the loss in localization accuracy induced by TDOA noises and velocity errors, the constrained total least squares (CTLS)… read more here.
Keywords: constrained total; velocity; least squares; method ... See more keywords
Semidefinite relaxation for the total least squares problem with Tikhonov-like regularization
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DOI: 10.1080/02331934.2019.1711080
Abstract: ABSTRACT We study the total least squares (TLS) with a parametric Tikhonov-like regularization. We relax it to a semidefinite programming (SDP) problem and establish a sufficient condition to guarantee the tightness of the SDP relaxation.… read more here.
Keywords: total least; relaxation; least squares; tikhonov ... See more keywords
Total least squares problems on infinite dimensional spaces
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DOI: 10.1088/1361-6420/abe3dd
Abstract: We study weighted total least squares problems on infinite dimensional spaces. We present some necessary and sufficient conditions for the regularized problem to have a solution. The existence of solution can also be assured for… read more here.
Keywords: total least; least squares; problems infinite; squares problems ... See more keywords
A Fractional-Order Gradient-Descent Total Least Mean P-Norm Adaptive Filtering Algorithm in Impulsive Noise Environments
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3220627
Abstract: As a widely used method in the errors-in-variables (EIV) model, total least square (TLS) can work well for both input and output signals disturbed with noises. The TLS based adaptive filtering algorithms also have better… read more here.
Keywords: total least; algorithm; adaptive filtering; fractional order ... See more keywords
Partial Discharge Location Algorithm Based on Total Least-Squares With Matérn Kernel in Cable Systems
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DOI: 10.1109/tii.2022.3153835
Abstract: Partial discharge (PD) location techniques are a useful tool for condition monitoring of electrical apparatus in power systems. However, the noisy PD measurements may significantly degrade the performance of location algorithms. This article deals with… read more here.
Keywords: partial discharge; location; total least; algorithm ... See more keywords
A Constrained-Total-Least-Squares Method for Joint Estimation of Source and Sensor Locations: A General Framework
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DOI: 10.1155/2018/8475693
Abstract: It is well known that sensor location uncertainties can significantly deteriorate the source positioning accuracy. Therefore, improving the sensor locations is necessary in order to achieve better localization performance. In this paper, a constrained-total-least-squares (CTLS)… read more here.
Keywords: sensor locations; total least; least squares; constrained total ... See more keywords
Total Least-Squares Iterative Closest Point Algorithm Based on Lie Algebra
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DOI: 10.3390/app9245352
Abstract: In geodetic surveying, input data from two coordinates are needed to compute rigid transformations. A common solution is a least-squares algorithm based on a Gauss–Markov model, called iterative closest point (ICP). However, the error in… read more here.
Keywords: algorithm based; lie algebra; total least; least squares ... See more keywords
Implications of Nonstationary Effect on Geographically Weighted Total Least Squares Regression for PM2.5 Estimation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph18137115
Abstract: Land use regression (LUR) models are used for high-resolution air pollution assessment. These models use independent parameters based on an assumption that these parameters are accurate and invariable; however, they are observational parameters derived from… read more here.
Keywords: weighted total; total least; least squares; geographically weighted ... See more keywords