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Showing 1 to 20 of 32 for “"cubic spline"”.
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A comparative study between the cubic spline and b-spline interpolation methods in free energy calculations
… the endpoints, also known as Runge's Phenomenon. Spline interpolation overcomes this obstacle by connecting the data points in a piecewise fashion. However, its complex formulation requires nested iterations in higher dimensions, which is time-consuming. In addition, the calculations have to be …
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An Exploratory Study on Methods for Interpolating and Extrapolating Baseball Win-Loss Percentage
… losing seasons. The second model we suggest is a cubic spline model, which connects two adjacent W-L% data points with a cubic function. The last model we examine is a seasonal Auto-Regressive Integrated Moving Average (SARIMA) model that was generated following the Box-Jenkins method. With W-L% …
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Subdivision, and refinement of non-uniform rational B-spline curves and surfaces in 3-D
… in this paper are several mathematical spline formulations and a history of splines, Bezier's cubic spline, and cubic B- splines. This includes uniform rational B-splines and non-uniform rational B-splines, their construction, pros and cons of the different representations, and …
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Applications of numerical analysis in navigation
… these points by a numerical method - the Direct Cubic Spline method which was first introduced by this author in the Bachelor of Philosophy thesis in 1982 and is developed further in part 2 of this thesis. We apply this method also to the special problem of computing the distance along the …
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Outlier treatments using interolation on Malaysia tourist arrival forecasting: SARIMA and ANN approaches
… method which are Linear Interpolation and Cubic Spline Interpolation methods. In this study, SARIMA model and Artificial Neural Network model were used as forecasting tools using the data before and after outlier treatment. The comparison of forecast performance between all models were …
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Microarray time-series data clustering via gene expression profile alignment
… the concept of multiple alignment of natural cubic spline representations of gene expression profiles are presented. The multiple alignment is achieved by minimizing the sum of integrated squared errors over a time-interval, defined on a set of profiles. The proposed approach with flat …
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Splines and local approximation of the earth's gravity field
The Hilbert space spline theory of Delvos and Schempp, and the reproducing kernel theory of L. Schwartz, provide the conceptual foundation and the construction procedure for rotation-invariant splines on Euclidean spaces, splines on the circle, and splines on the sphere and harmonic outside the …
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A Comparative Analysis of Methods for Baseline Drift Removal in Preterm Infant Respiration Signals
… algorithm. The methods compared were a linear spline subtraction, a cubic spline subtraction, a neural network baseline approximation, and a double differentiation of the thermistor signal. The method yielding the highest event detection rate was shown to be the double differentiation method, …
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Incorporating global information into local nonlinear controllers
… might be poor or even unstable. This thesis uses cubic spline techniques to investigate the coupling of global information into local controllers without affecting the local performance. Although “stand-alone” interpolative spline structures do not give the desired local performance, global …
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Statistical modelling for the prognostic classification of patients with pancreatic cancer for optimisation of treatment allocation
… first time in this disease site using restricted cubic spline and fractional polynomial functions. Multivariable models containing non-linear transformations gave a substantially better fit. Important effects of some covariates were unrecognised under simplistic assumptions. The fitted functions …
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An algorithm for extracting the PPG Baseline Drift in real-time
… condition the signal such as Wavelet Transform, Cubic Spline Interpolation, Morphological Operators and Fourier-Based filtering techniques. All have their own individual benefits and drawbacks. These drawbacks are that they are unsuitable for real-time usage due to the computation power needed, …
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Autonomous Convoy Study of Unmanned Ground Vehicles using Visual Snakes
… position data at a specified frequency. A cubic spline is then fit to the relative position data using a least squares algorithm. The spline represents the path on which the lead vehicle has already traversed. Controlling the UGV onto this relative path using a sliding mode control, allows …
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A fibre optic system for distributed temperature sensing based on raman scattering.
… the DTS system. A calibration algorithm based on cubic spline fitting is developed to cope with non-uniform fibre loss in the system, which greatly improved the accuracy of the temperature decoding in real applications with unavoidable nonlinear characteristics. The developed DTS system and the …
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Application of the time-domain finite-element method to analysis of 3D electric machine problems
… of nonlinear machine problems is shown, and the cubic spline interpolation is employed to obtain a continuous B-H curve from the tabulated measured data. Both the Newton-Raphson method and the fixed-point method are introduced and applied to solve nonlinear machine problems. Some examples are …
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Integral Boundary Layer Methods in Python
… and an edge velocity treatment method using cubic spline interpolation that improves the simulation performance using only points from an inviscid edge velocity distribution. Both the laminar and turbulent methods are shown to benefit from smoothing of the edge velocity distribution. The …
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Elimination of Edge Effects Using Spline Wavelets Which Maintain a Uniform Two-Scale Relation
<p>Use of the compactly supported B-spline wavelet of Chui and Wang is hindered by loss of accuracy on decomposition, through truncation of weight sequences which are countably infinite. Adaptations to finite intervals often encounter significant problems with error near boundaries, called edge …
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Modeling daily electricity load curve using cubic splines and functional principal components
… autoregressive moving average method (ARMA) and cubic spline models. The second approach is suitable for obtaining long-term forecasts of the daily electricity load and employs cubic splines with time varying coefficients. These coefficients are modeled as a multivariate time series using a …
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Dendroclimatology of Pinus sylvestris L. in the British Isles
… and comparing annual density profiles by fitting cubic spline functions to the density data is described. This has enabled the effects of growing season climate on density to be examined. The importance of temperature in governing tree-ring density is demonstrated. The use of image analysis …
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Segmentation and Fracture Detection in X-ray images for Traumatic Pelvic Injury
… Transform. This algorithm also applies a novel Spline/ASM segmentation method which combines cubic spline interpolation with a deformable model approach which maintains curved contours and provides local control over segmentation. In order for the proposed system to be used as a component in a …
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