Results 11 to 20 of about 1,170,819 (338)
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 +2 more
exaly +6 more sources
Total Least Squares Spline Approximation [PDF]
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
doaj +4 more sources
Spline approximation, Part 1: Basic methodology
In engineering geodesy point clouds derived from terrestrial laser scanning or from photogrammetric approaches are almost never used as final results.
Frank Neitzel, Svetozar Petrović
exaly +3 more sources
Spline Approximation, Part 2: From Polynomials in the Monomial Basis to B-splines—A Derivation
In a series of three articles, spline approximation is presented from a geodetic point of view. In part 1, an introduction to spline approximation of 2D curves was given and the basic methodology of spline approximation was demonstrated using splines ...
Frank Neitzel +2 more
exaly +3 more sources
USING SPLINE FUNCTIONS FOR THE SUBSTANTIATION OF TAX POLICIES BY LOCAL AUTHORITIES [PDF]
The paper aims to approach innovative financial instruments for the management of public resources. In the category of these innovative tools have been included polynomial spline functions used for budgetary sizing in the substantiating of fiscal and ...
Otgon Cristian, Pop Razvan, Bolos Marcel
doaj +1 more source
Uniqueness and approximation orders of perfect splines are studied in this article. In the main result, upper bounds to the best approximation by perfect splines to continuous functions are provided. Moreover, the approximation results are related to the so-called \(\Sigma\Delta\) modulation of bandlimited univariate signals.
Yingkang Hu, Xiang Ming Yu
openaire +3 more sources
Parameter estimation in systems biology models using spline approximation. [PDF]
BackgroundMathematical models for revealing the dynamics and interactions properties of biological systems play an important role in computational systems biology.
Zhan C, Yeung LF.
europepmc +2 more sources
Three-monotone spline approximation
Jackson theorems for functions \(f\) whose third order divided differences are always nonnegative are studied. They are approximated by piecewise polynomial splines with minimal defect, and the error is bounded above in a Jackson-type theorem using the fourth modulus of smoothness of \(f\). Such functions are called three-monotone, and so is the spline
G. A. Dzyubenko +2 more
openaire +3 more sources
An entropy-based approach for a robust least squares spline approximation [PDF]
We consider the weighted least squares spline approximation of a noisy dataset. By interpreting the weights as a probability distribution, we maximize the associated entropy subject to the constraint that the mean squared error is prescribed to a desired
L. Brugnano +3 more
semanticscholar +1 more source
SURFACE APPROXIMATION OF COASTAL REGIONS: LR B-SPLINE FOR DETECTION OF DEFORMATION PATTERN [PDF]
Geospatial data acquisition of terrains produces huge, noisy and scattered point clouds. An efficient use of the acquired data requires structured and compact data representations. Working directly in a point cloud is often not appealing.
G. Kermarrec, V. Skytt, T. Dokken
doaj +1 more source

