Results 31 to 40 of about 61,800 (289)
Total Least Squares Phase Retrieval [PDF]
IEEE Transactions on Signal Processing, 2021 We address the phase retrieval problem with errors in the sensing vectors. A number of recent methods for phase retrieval are based on least squares (LS) formulations which assume errors in the quadratic measurements.
Sidharth Gupta, Ivan Dokmani'c
semanticscholar +1 more source
Geoplanning: Journal of Geomatics and Planning, 2016 Spirit levelling has been the traditional means of determining Reduced Levels (RL’s) of points by most surveyors. The assertion that the level instrument is the best instrument for determining elevations of points needs to be reviewed; this is because ...
Richard Fiifi Annan +3 more
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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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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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