Search results for "Smoothing spline"

showing 10 items of 15 documents

Cubic smoothing splines background correction in on-line liquid chromatography–Fourier transform infrared spectrometry

2010

A background correction method for the on-line coupling of gradient liquid chromatography and Fourier transform infrared spectrometry (LC-FTIR) is proposed. The developed approach applies univariate background correction to each variable (i.e. each wave number) individually. Spectra measured in the region before and after each peak cluster are used as knots to model the variation of the eluent absorption intensity with time using cubic smoothing splines (CSS) functions. The new approach has been successfully tested on simulated as well as on real data sets obtained from injections of standard mixtures of polyethylene glycols with four different molecular weights in methanol:water, 2-propano…

Analytical chemistrySensitivity and SpecificityBiochemistryPolyethylene GlycolsAnalytical ChemistryMatrix (chemical analysis)ChemometricsSmoothing splinesymbols.namesakeSpectroscopy Fourier Transform InfraredCalibrationComputer SimulationFourier transform infrared spectroscopyAnalysis of VarianceChromatographyElutionChemistryOrganic ChemistryGreen Chemistry TechnologyGeneral MedicineFourier transformAlcoholsLinear ModelssymbolsBackground Correction MethodAlgorithmsChromatography LiquidJournal of Chromatography A
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A filtering algorithm for maneuvering target tracking based on smoothing spline fitting

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/127643 Open Access Maneuvering target tracking is a challenge. Target's sudden speed or direction changing would make the common filtering tracker divergence. To improve the accuracy of maneuvering target tracking, we propose a tracking algorithm based on spline fitting. Curve fitting, based on historical point trace, reflects the mobility information. The innovation of this paper is assuming that there is no dynamic motion model, and prediction is only based on the curve fitting over the measured data. Monte Carlo simulation results show that, …

Article Subjectlcsh:MathematicsApplied MathematicsMonte Carlo methodSpline fittingAnalysis; Applied MathematicsTracking (particle physics)lcsh:QA1-939VDP::Mathematics and natural science: 400::Mathematics: 410::Analysis: 411Smoothing splineCurve fittingPoint (geometry)Divergence (statistics)AlgorithmAnalysisTRACE (psycholinguistics)Mathematics
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Non-periodic Polynomial Splines

2015

In this chapter, we outline the essentials of the splines theory. By themselves, they are of interest for signal processing research. We use the Zak transform to derive an integral representation of polynomial splines on uniform grids. The integral representation facilitated design of different generators of spline spaces and their duals. It provides explicit expressions for interpolating and smoothing splines of any order. In forthcoming chapters, the integral representation of splines will be used for the constructions of efficient subdivision schemes and so also for the design spline-based wavelets and wavelet frames.

Box splineComputer scienceZak transformMathematicsofComputing_NUMERICALANALYSISMathematics::Numerical AnalysisMatrix polynomialAlgebraSpline (mathematics)Smoothing splineComputer Science::GraphicsWaveletDegree of a polynomialChebyshev nodesComputingMethodologies_COMPUTERGRAPHICS
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Polynomial Smoothing Splines

2014

Interpolating splines is a perfect tool for approximation of a continuous-time signal \(f(t)\) in the case when samples \(x[k]=f(k),\;k\in \mathbb {Z}\) are available. However, frequently, the samples are corrupted by random noise. In such case, the so-called smoothing splines provide better approximation. In this chapter we describe periodic smoothing splines in one and two dimensions. The SHA technique provides explicit expression of such splines and enables us to derive optimal values of the regularization parameters.

Discrete mathematicsSmoothing splinePolynomial smoothingSubdivision methodBox splineRandom noiseExpression (computer science)Regularization (mathematics)Sampling gridMathematics
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Comparing FPCA Based on Conditional Quantile Functions and FPCA Based on Conditional Mean Function

2019

In this work functional principal component analysis (FPCA) based on quantile functions is proposed as an alternative to the classical approach, based on the functional mean. Quantile regression characterizes the conditional distribution of a response variable and, in particular, some features like the tails behavior; smoothing splines have also been usefully applied to quantile regression to allow for a more flexible modelling. This framework finds application in contexts involving multiple high frequency time series, for which the functional data analysis (FDA) approach is a natural choice. Quantile regression is then extended to the estimation of functional quantiles and our proposal exp…

Functional principal component analysisSmoothing splineComputer scienceEconometricsFunctional data analysisFunction (mathematics)Conditional probability distributionSettore SECS-S/01 - StatisticaConditional expectationFPCA conditional quantile functions conditional mean functionQuantile regressionQuantile
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Periodic Discrete Splines

2014

Periodic discrete splines with different periods and spans were introduced in Sect. 3.4. In this chapter, we discuss families of periodic discrete splines, whose periods and spans are powers of 2. As in the polynomial splines case, the Zak transform is extensively employed. It results in the Discrete Spline Harmonic Analysis (DSHA). Utilization of the Fast Fourier transform (FFT) enables us to implement all the computations in a fast explicit way.

Harmonic analysisSmoothing splineSpline (mathematics)Computer Science::GraphicsPolynomial splinesComputationZak transformFast Fourier transformApplied mathematicsExponential splineMathematics::Numerical AnalysisMathematics
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Capillary electrophoresis enhanced by automatic two-way background correction using cubic smoothing splines and multivariate data analysis applied to…

2005

Mixtures of the surfactant classes coconut diethanolamide, cocamido propyl betaine and alkylbenzene sulfonate were separated by capillary electrophoresis in several media containing organic solvents and anionic solvophobic agents. Good resolution between both the surfactant classes and the homologues within the classes was achieved in a BGE containing 80 mM borate buffer of pH 8.5, 20% n-propanol and 40 mM sodium deoxycholate. Full resolution, assistance in peak assignment to the classes (including the recognition of solutes not belonging to the classes), and improvement of the signal-to-noise ratio was achieved by multivariate data analysis of the time-wavelength electropherograms. Cubic s…

Multivariate statisticsChromatographyChemistryOrganic ChemistryOrthographic projectionElectrophoresis CapillaryGeneral MedicineBiochemistryAnalytical ChemistryElectropherogramSurface-Active AgentsSmoothing splineCapillary electrophoresisMultivariate AnalysisSensitivity (control systems)DeconvolutionSolvophobicJournal of Chromatography A
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Color Correction for Image Stitching by Monotone Cubic Spline Interpolation

2015

This paper proposes a novel color correction scheme for image stitching where the color map transfer is modelled by a monotone Hermite cubic spline and smoothly propagated into the target image. A three-segments monotone cubic spline minimizing color distribution statistics and gradient differences with respect to both the source and target images is used. While the spline model can handle non-linear color maps, the minimization over the gradient differences limits strong alterations on the image structure. Adaptive heuristics are introduced to reduce the minimization search space and thus computational time. Experimental comparisons with respect to the state-of-the-art linear mapping model…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniImage stitchingDemosaicingSettore INF/01 - Informaticabusiness.industryColor correctionMathematicsofComputing_NUMERICALANALYSISComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMonotone cubic interpolationPhotometric blendingCubic Hermite splineSmoothing splineColor transferComputer visionArtificial intelligenceColor transfer image stitching photometric blendingbusinessSpline interpolationThin plate splineAlgorithmImage gradientComputingMethodologies_COMPUTERGRAPHICSMathematics
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An exponential spline interpolation for unequally spaced data points

1982

Smoothing splineHermite splineHardware and ArchitectureMathematical analysisMonotone cubic interpolationGeneral Physics and AstronomyLinear interpolationThin plate splineSpline interpolationMultivariate interpolationMathematicsInterpolationComputer Physics Communications
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StalAge – An algorithm designed for construction of speleothem age models

2011

Abstract Here we present a new algorithm ( StalAge ), which is designed to construct speleothem age models. The algorithm uses U-series ages and their corresponding age uncertainty for modelling and also includes stratigraphic information in order to further constrain and improve the age model. StalAge is applicable to problematic datasets that include outliers, age inversions, hiatuses and large changes in growth rate. Manual selection of potentially inaccurate ages prior to application is not required. StalAge can be applied by the general, non-expert user and has no adjustable free parameters. This offers the highest degree of reproducibility and comparability of speleothem records from …

Smoothing splineSpline (mathematics)Robustness (computer science)StratigraphyOutlierBayesian probabilityEarth and Planetary Sciences (miscellaneous)Range (statistics)GeologySample (statistics)AlgorithmGeologyFree parameterQuaternary Geochronology
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