Results 121 to 130 of about 43,057 (164)

On Fitting With Functional Polynomials

Journal of Basic Engineering, 1967
A method is introduced for finding a functional polynomial fit of a continuous functional. This method radically reduces the number of measured records required by straightforward techniques for the second-degree approximation.
J. Zaborsky, R. H. Flake
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curve fitting by a piecewise cubic polynomial

Computing, 1976
This paper deals with curve fitting by a piecewise cubic polynomial which is continuous with its first derivative. A knot is inserted successively until a certain criterion is satisfied. Then a suboptimal algorithm is applied to minimize the sum of squares of residuals.
Ichida, K., Yoshimoto, F., Kiyono, T.
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Fitting parametrized polynomials with scattered surface data

Journal of Biomechanics, 1999
Currently used joint-surface models require the measurements to be structured according to a grid. With the currently available tracking devices a large quantity of unstructured surface points can be measured in a relatively short time. In this paper a method is presented to fit polynomial functions to three-dimensional unstructured data points.
van Ruijven, L.J., Beek, M., van Eijden, T.M.G.J.   +2 more
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Truncating criteria for polynomial curve fitting

Journal of Physics D: Applied Physics, 1971
The various criteria which determine the degree of a polynomial to be used in curve fitting have been assessed by applying them to eighty sets of data. The most reliable truncating criteria are found to involve the use of the statistically based t or F tests.
C James, S P Lang
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Standardised Polynomials Jor Curve Fitting

The Journal of the Royal Aeronautical Society, 1958
Lagrange's Interpolation formula can be used to obtain an approximate polynomial representation of a curve (derived empirically, or known otherwise) as well as to interpolate between isolated values of a function. In obtaining such an approximating polynomial, standardisation of the values of the independent variable has the advantage that many ...
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Camera Calibration Based on Polynomial Fitting

2010 International Conference on Computational Intelligence and Software Engineering, 2010
Camera calibration is a fundamental task in photogrammetry and computer vision. This paper presents an approach for geometric calibration of digital cameras. The mapping relation between the image coordinate and the world coordinate can be described by a polynomial.
Guoquan Jiang, Cuijun Zhao
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Reweighting method for polynomial surface fitting

SEG Technical Program Expanded Abstracts 1990, 1990
Least-squares polynomial fitting is commonly used as ; regional-residual separation tool. Although this technique work, well in many areas, it fails in others where narrow, high amplitude anomalies are superimposed on broad regional trends The calculated polynomial region& can be severely distorted b! the local anomalies.
Hengren Xia, Jeffrey D. MacQueen, Jeremy J. Zimmerman   +2 more
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Robust Fourier and Polynomial Curve Fitting

2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), 2016
We consider the robust curve fitting problem, for both algebraic and Fourier (trigonometric) polynomials, in the presence of outliers. In particular, we study the model of Arora and Khot (STOC 2002), who were motivated by applications in computer vision. In their model, the input data consists of ordered pairs (xi, yi) e [-1, 1] × [-1, 1], i = 1, 2, …,
Venkatesan Guruswami, David Zuckerman
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Revisiting fitting monotone polynomials to data

Computational Statistics, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Murray, Kevin, Müller, Samuel, Turlach, Berwin A.   +2 more
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Multiple suppression based on polynomial fitting

SEG Technical Program Expanded Abstracts 2012, 2012
Summary We extend the idea of polynomial fitting to suppress multiples on imaging gathers. This technique modified in this paper includes median filtering and polynomial fitting. Compared with CMP gathers (data space), imaging gathers, such as common reflection points gathers (CRP), keep better amplitude-versus-offset (AVO) properties.
Zou Zhen, Ling Yun, Wang Yong Jun, Gao Jun   +3 more
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