A Stochastic Total Least Squares Solution of Adaptive Filtering Problem [PDF]
The Scientific World Journal, 2014 An efficient and computationally linear algorithm is derived for total least squares solution of adaptive filtering problem, when both input and output signals are contaminated by noise.
Shazia Javed, Noor Atinah Ahmad
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Least-squares methods for identifying biochemical regulatory networks from noisy measurements [PDF]
BMC Bioinformatics, 2007 Background We consider the problem of identifying the dynamic interactions in biochemical networks from noisy experimental data. Typically, approaches for solving this problem make use of an estimation algorithm such as the well-known linear Least ...
Heslop-Harrison Pat +4 more
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Total Least Squares Spline Approximation [PDF]
Mathematics, 2019 Spline approximation, using both values y i and x i as observations, is of vital importance for engineering geodesy, e.g., for approximation of profiles measured with terrestrial laser scanners, because it enables the consideration of
Frank Neitzel +2 more
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Identification of Combined Power Quality Disturbances Using Singular Value Decomposition (SVD) and Total Least Squares-Estimation of Signal Parameters via Rotational Invariance Techniques (TLS-ESPRIT) [PDF]
Energies, 2017 In order to identify various kinds of combined power quality disturbances, the singular value decomposition (SVD) and the improved total least squares-estimation of signal parameters via rotational invariance techniques (TLS-ESPRIT) are combined as the ...
Huaishuo Xiao, Jianchun Wei, Qingquan Li
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Deformation analysis with Total Least Squares [PDF]
Natural Hazards and Earth System Sciences, 2006 Deformation analysis is one of the main research fields in geodesy. Deformation analysis process comprises measurement and analysis phases. Measurements can be collected using several techniques. The output of the evaluation of the measurements is mainly
M. Acar +4 more
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Identification and Predictive Control by p-norm Minimization [PDF]
Acta Polytechnica, 2006 Real time system parameter estimation from the set of input-output data is usually solved by minimization of quadratic norm errors of system equations – known in the literature as least squares (LS) or its modification as total least squares (TLS) or ...
J. Pekař, J. Štecha
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Mathematics, 2021 For large-scale problems, how to establish an algorithm with high accuracy and stability is particularly important. In this paper, the Householder bidiagonalization total least squares (HBITLS) algorithm and nonlinear iterative partial least squares for ...
Zhanshan Yang, Xilan Liu
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Mathematics, 2021 This paper is devoted to the identification of the parameters of discrete fractional systems with errors in variables. Estimates of the parameters of such systems can be obtained using generalized total least squares (GTLS). A GTLS problem can be reduced
Dmitriy Ivanov, Aleksandr Zhdanov
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Sensitivity analysis of a new approach to photovoltaic parameters extraction based on the total least squares method [PDF]
Metrology and Measurement Systems, 2021 The degradation of photovoltaic modules and their subsequent loss of performance has a serious impact on the total energy generation potential. The lack of real-time information on the output power leads to additional losses since the panels may not be ...
Oumaima Mesbahi +4 more
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A statistically optimal analysis of systematic differences between Aeolus horizontal line-of-sight winds and NOAA's Global Forecast System [PDF]
Atmospheric Measurement Techniques, 2022 The European Space Agency Aeolus mission launched a first-of-its-kind spaceborne Doppler wind lidar in August 2018. To optimize the assimilation of the Aeolus Level-2B (B10) horizontal line-of-sight (HLOS) winds, significant systematic differences ...
H. Liu +7 more
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