Results 21 to 30 of about 10,513 (148)
Total Least Squares Spline Approximation
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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Smoothing data series by means of cubic splines: quality of approximation and introduction of a repeating spline approach [PDF]
Cubic splines with equidistant spline sampling points are a common method in atmospheric science, used for the approximation of background conditions by means of filtering superimposed fluctuations from a data series.
S. Wüst +7 more
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The B-spline function representation is commonly used for data approximation and trajectory definition, but filter-based methods for nonlinear weighted least squares (NWLS) approximation are restricted to a bounded definition range.
Jens Jauch +3 more
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Optimal Approximation of Biquartic Polynomials by Bicubic Splines
Recently an unexpected approximation property between polynomials of degree three and four was revealed within the framework of two-part approximation models in 2-norm, Chebyshev norm and Holladay seminorm.
Kačala Viliam, Török Csaba
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Neutrosophic B-spline Surface Approximation Model for 3-Dimensional Data Collection [PDF]
Since there are threei membershipi functions: truth, false, and indeterminacyi, geometrical modelingi for B-spline surface approximation including neutrosophic data is particularly difficult to construct.
Siti Nur Idara Rosli +2 more
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New Cubic B-Spline Approximation for Solving Linear Two-Point Boundary-Value Problems
In this study, we introduce a new cubic B-spline (CBS) approximation method to solve linear two-point boundary value problems (BVPs). This method is based on cubic B-spline basis functions with a new approximation for the second-order derivative.
Busyra Latif +2 more
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Recursive B-spline approximation using the Kalman filter
This paper proposes a novel recursive B-spline approximation (RBA) algorithm which approximates an unbounded number of data points with a B-spline function and achieves lower computational effort compared with previous algorithms.
Jens Jauch +3 more
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Contour Detection of Mammogram Masses Using ChanVese Model and B-Spline Approximation
ChanVese model segmentation has been applied for contour detection of mass region in mammogram in our previous work. Available information of the desired object contour is used, in this paper, for B-spline approximation. The mass region boundary (contour)
Youssef Benyoussef +2 more
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Dual generalized B-spline functions and their applications in several approximation problems
A new construction method of dual generalized B-spline functions is presented in this paper. Due to the importance of generalized B-splines, several interesting applications of these dual functions in Computer Aided Manufacturing are also given.
Li ZHANG +3 more
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APPLICATION OF B-SPLINE METHOD IN SURFACE FITTING PROBLEM [PDF]
Fitting a smooth surface on irregular data is a problem in many applications of data analysis. Spline polynomials in different orders have been used for interpolation and approximation in one or two-dimensional space in many researches. These polynomials
F. Esmaeili +3 more
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