Results 21 to 30 of about 547,462 (296)
Moving least squares multiresolution surface approximation [PDF]
16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), 2003 We describe a new method for surface reconstruction based on unorganized point clouds without normals. We also present a new algorithm for refining the initial triangulation. The output of the method is a refined triangular mesh with points on the moving least squares surface of the original point cloud.
B. Mederos, L. Velho, L.H. De Figueiredo
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Least Squares Moving-Window Spectral Analysis [PDF]
Applied Spectroscopy, 2017 Least squares regression is proposed as a moving-windows method for analysis of a series of spectra acquired as a function of external perturbation. The least squares moving-window (LSMW) method can be considered an extended form of the Savitzky–Golay differentiation for nonuniform perturbation spacing.
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A Novel Reconstruction Method for Measurement Data Based on MTLS Algorithm
Sensors, 2020 Reconstruction methods for discrete data, such as the Moving Least Squares (MLS) and Moving Total Least Squares (MTLS), have made a great many achievements with the progress of modern industrial technology.
Tianqi Gu +3 more
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Moving Least Squares Method for a One-Dimensional Parabolic Inverse Problem
Abstract and Applied Analysis, 2014 This paper investigates the numerical solution of a class of one-dimensional inverse parabolic problems using the moving least squares approximation; the inverse problem is the determination of an unknown source term depending on time.
Baiyu Wang
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Generation of Adaptive Streak Surfaces Using Moving Least Squares [PDF]
, 2011 We introduce a novel method for the generation of fully adaptive streak surfaces in time-varying flow fields based on particle advection and adaptive mesh refinement.
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Parabolic-cylindrical moving least squares surfaces [PDF]
Computers & Graphics, 2015 Moving least squares (MLS) surface approximation is a popular tool for the processing and reconstruction of non-structured and noisy point clouds. This paper introduces a new variant improving the approximation quality when the underlying surface is assumed to be locally developable, which is often the case in point clouds coming from the acquisition ...
Ridel, Brett +3 more
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Error analysis of a least squares pseudo-derivative moving least squares method [PDF]
Proyecciones (Antofagasta), 2017 Meshfree methods offer the potential to relieve the scientist from the time consuming grid generation process especially in cases where localized mesh refinement is desired. Moving least squares (MLS) methods are considered such a meshfree technique.
Clack, Jhules +2 more
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A moving least squares meshless method for solving the generalized Kuramoto-Sivashinsky equation
Alexandria Engineering Journal, 2016 We use a moving least squares meshless method to solve the nonlinear Kuramoto-Sivashinsky equation. The accuracy of the method is demonstrated by three test problems for which the numerical results are found to be in excellent agreement with analytical ...
E. Dabboura, H. Sadat, C. Prax
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IEEE Access, 2021 This paper proposes the wave peak frequency tracking methods based on the least squares identification algorithm. The wave disturbance model is transformed into an autoregressive moving average (ARMA) model and a recursive extended least squares (RELS ...
Jianping Yuan +4 more
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SOME COMPARISON RESULTS FOR MOVING LEAST-SQUARE APPROXIMATIONS [PDF]
International Journal of Pure and Apllied Mathematics, 2016 Some properties of moving least-square approximations for two concrete weight functions are investigated. The used thecnique is based on some properties of differential equations and applications of the theory of Lyapunov functions.
Nenov S., Tsvetkov T.
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