Improved Least Squares Phase Unwrapping Method Based on Chebyshev Filter
Applied SciencesPhase unwrapping of high phase noise and steep phase gradient has always been a challenging problem in interferometric synthetic aperture radar (InSAR), in which case the least squares (LS) phase unwrapping method often suffers from significant ...
Guoqing Li, Yake Li, Wenyan Liu
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Practical inference from industrial split-plot designs. [PDF]
Many industrial response surface experiments are deliberately not conducted in a completely randomized fashion. This is because some of the factors investigated in the experiment are hard to change.
Goos, Peter +2 more
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Performance analysis of the Least-Squares estimator in Astrometry
, 2015 We characterize the performance of the widely-used least-squares estimator in astrometry in terms of a comparison with the Cramer-Rao lower variance bound.
Lobos, Rodrigo A. +3 more
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Bubble-Enriched Least-Squares Finite Element Method for Transient Advective Transport
Differential Equations and Nonlinear Mechanics, 2008 The least-squares finite element method (LSFEM) has received increasing attention in recent years due to advantages over the Galerkin finite element method (GFEM).
Rajeev Kumar, Brian H. Dennis
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Detection of main tidal frequencies using least squares harmonic estimation method
Journal of Geodetic Science, 2012 In this paper the efficiency of the method of Least Squares Harmonic Estimation (LS-HE) for detecting the main tidal frequencies is investigated. Using this method, the tidal spectrum of the sea level data is evaluated at two tidal stations: Bandar Abbas
Mousavian R., Hossainali M. Mashhadi
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A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation. [PDF]
J Sci Comput, 2022 Caboussat A +2 more
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A new method of weighted choice in InSAR Least Squares unwrapping
Geodesy and Geodynamics, 2012 The decorelation phenomena such as Low-SNR radar signal, shadows and layover caused by topography etc, causes phase data discontinuous and makes the result of unwrapping phase inaccurate or completely wrong.
Liu Weike, Liu Goulin
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Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method. [PDF]
Angle Orthod, 2022 Moon JH +5 more
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Quadrature-Based Vector Fitting: Implications For H2 System Approximation
, 2014 Vector Fitting is a popular method of constructing rational approximants designed to fit given frequency response measurements. The original method, which we refer to as VF, is based on a least-squares fit to the measurements by a rational function ...
Beattie, Christopher +2 more
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Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method. [PDF]
Front Cardiovasc Med, 2023 Ghadimi S, Abdi M, Epstein FH.
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