A Comparison of SVD-Augmented Prony Algorithms for Noisy Power System Signals
IEEE Access, 2023 The conventional Prony algorithm, which is the most prominent power system ring-down mode identification method, fails if the test signal is noisy [with a signal-to-noise ratio (SNR) below 20 dB].
Krishna Rao, K. N. Shubhanga
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Methodology for Extraction of Tunnel Cross-Sections Using Dense Point Cloud Data [PDF]
Journal of Geodesy and Geoinformation Science, 2021 Tunnel deformation monitoring is a crucial task to evaluate tunnel stability during the metro operation period. Terrestrial Laser Scanning (TLS) can collect high density and high accuracy point cloud data in a few minutes as an innovation technique ...
Yueqian SHEN,Jinguo WANG,Jinhu WANG,Wei DUAN,Vagner G. FERREIRA
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On the Polynomial Measurement Error Model [PDF]
, 2001 This paper discusses point estimation of the coefficients of polynomial measurement error (errors-in-variables) models. This includes functional and structural models. The connection between these models and total least squares (TLS) is also examined.
A Kukush +40 more
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Model estimation of cerebral hemodynamics between blood flow and volume changes: a data-based modeling approach [PDF]
, 2008 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
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Efficient Total Least Squares State and Parameter Estimation for Differentially Flat Systems [PDF]
, 2016 This paper proposes an efficient framework for the total least squares (TLS) estimation of differentially flat system states and parameters. Classical ordinary least squares (OLS) estimation assumes: (i) that only the dependent (i.e., output) signals are
Fathy, H +4 more
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Nonlinear total least-squares variance component estimation for GM(1,1) model
Geodesy and Geodynamics, 2021 The solution of the grey model (GM(1,1) model) generally involves equal-precision observations, and the (co)variance matrix is established from the prior information.
Leyang Wang, Jianqiang Sun, Qiwen Wu
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An alternating iterative minimisation algorithm for the double-regularised total least square functional [PDF]
, 2015 The total least squares (TLS) method is a successful approach for linear problems if both the right-hand side and the operator are contaminated by some noise.
Bleyer, Ismael Rodrigo, Ramlau, Ronny
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Terrestrial, Atmospheric and Oceanic Sciences, 2011 We present crustal strain and deformation models for the Sichuan-Yunnan region based on high-precision GPS measurements from 1998 - 2004 using the total least squares method (TLSM).
Caijun Xu +3 more
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Total Least Squares Method for Direction of Arrival Estimation [PDF]
Jisuanji gongcheng, 2019 In the Time Difference of Arrival(TDOA) positioning technology,when the position coordinates of the sensor have errors,the estimated value obtained by the Least Squares(LS) method no longer has the best unbiasedness,resulting in a decrease in the ...
WANG Hai, ZHANG Menghan, CUI Xunxue
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TOWARD A SOLUTION OF ALLOCATION IN LIFE CYCLE INVENTORIES: THE USE OF LEAST SQUARES TECHNIQUES [PDF]
, 2010 Purpose: The matrix method for the solution of the so-called inventory problem in LCA generally determines the inventory vector related to a specific system of processes by solving a system of linear equations.
CELLURA, Maurizio +2 more
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