Search results for "INTERPOLATION"

showing 10 items of 331 documents

Data analysis procedures for pulse ELDOR measurements of broad distance distributions

2004

The reliability of procedures for extracting the distance distribution between spins from the dipolar evolution function is studied with particular emphasis on broad distributions. A new numerically stable procedure for fitting distance distributions with polynomial interpolation between sampling points is introduced and compared to Tikhonov regularization in the dipolar frequency and distance domains and to approximate Pake transformation. Distance distributions with only narrow peaks are most reliably extracted by distance-domain Tikhonov regularization, while frequency-domain Tikhonov regularization is favorable for distributions with only broad peaks. For the quantification of distribut…

PhysicsTikhonov regularizationTransformation (function)Distribution (mathematics)Hermite polynomialsSpinsStatistical physicsFunction (mathematics)Atomic and Molecular Physics and OpticsPolynomial interpolationInterpolation
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Rational Hermite Interpolation and Quadrature

1993

Rational Hermite interpolation is used in two different ways in order to derive and analyze quadrature rules. One approach yields quadratures of Gaussian-type whereas the other one generalizes Engels’ dual quadratures exhibiting the close connection between rational Hermite interpolation and quadrature in general.

Physics::Computational PhysicsCubic Hermite splineHermite splineChebyshev–Gauss quadratureHermite interpolationMonotone cubic interpolationApplied mathematicsBirkhoff interpolationComputer Science::Numerical AnalysisGauss–Kronrod quadrature formulaMathematics::Numerical AnalysisMathematicsClenshaw–Curtis quadrature
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A neural network clustering algorithm for the ATLAS silicon pixel detector

2014

A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. …

Physics::Instrumentation and DetectorsCiencias FísicasMonte Carlo methodHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]High Energy Physics - Experiment (hep-ex)jetParticle tracking detectors[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]scattering [p p]Statistical physicscluster [track data analysis]Particle tracking detectors (solid-state detectors)InstrumentationQCMathematical PhysicsPhysicsArtificial neural networkAtlas (topology)Detectordetectors)Monte Carlo [numerical calculations]ATLASperformance [neural network]CERN LHC CollParticle tracking detectors (Solid-state detectors)Feature (computer vision)Physical SciencesParticle tracking detectors (Solid-stateParticle tracking detectors; Particle tracking detectors (Solid-state detectors)ComputingMethodologies_DOCUMENTANDTEXTPROCESSINGLHCConnected-component labelingAlgorithmNeural networksCIENCIAS NATURALES Y EXACTASParticle Physics - ExperimentInterpolationCiências Naturais::Ciências Físicas530 Physicssplitting:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesParticle tracking detectors; Particle tracking detectors (solid-state detectors); Instrumentation; Mathematical Physics530FysikHigh Energy Physicsddc:610Cluster analysispixel [semiconductor detector]Science & TechnologyFísica//purl.org/becyt/ford/1.3 [https]High Energy Physics - Experiment; High Energy Physics - ExperimentParticle tracking detectorcluster [charged particle]AstronomíaParticle tracking detectors; Particle tracking detectors (Solid-state; detectors)Experimental High Energy Physicsimpact parameter [resolution]
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Resolution enhancement in integral microscopy by physical interpolation

2015

Integral-imaging technology has demonstrated its capability for computing depth images from the microimages recorded after a single shot. This capability has been shown in macroscopic imaging and also in microscopy. Despite the possibility of refocusing different planes from one snap-shot is crucial for the study of some biological processes, the main drawback in integral imaging is the substantial reduction of the spatial resolution. In this contribution we report a technique, which permits to increase the two-dimensional spatial resolution of the computed depth images in integral microscopy by a factor of √2. This is made by a double-shot approach, carried out by means of a rotating glass…

Point spread functionIntegral imagingComputer sciencebusiness.industryResolution (electron density)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingcomputer.software_genreArticleAtomic and Molecular Physics and OpticsBiological specimenOpticsMicroscopyData miningbusinesscomputerImage resolutionBiotechnologyInterpolationBiomedical Optics Express
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Higher Order Sobolev-Type Spaces on the Real Line

2014

This paper gives a characterization of Sobolev functions on the real line by means of pointwise inequalities involving finite differences. This is also shown to apply to more general Orlicz-Sobolev, Lorentz-Sobolev, and Lorentz-Karamata-Sobolev spaces.

PointwiseMathematics::Functional AnalysisArticle SubjectReal analysislcsh:Mathematicsta111Mathematical analysisMathematics::Analysis of PDEsFinite differencelcsh:QA1-939Sobolev inequalitySobolev spaceInterpolation spaceSobolev functionsBirnbaum–Orlicz spaceReal lineAnalysisMathematicsJournal of Function Spaces
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On Inverse Distance Weighting in Pollution Models

2011

When evaluating the impact of pollution, measurements from remote stations are often weighted by the inverse of distance raised to some nonnegative power (IDW). This is derived from Shepard's method of spatial interpolation (1968). The paper discusses the arbitrary character of the exponent of distance and the problem of monitoring stations that are close to the reference point. From elementary laws of physics, it is determined which exponent of distance should be chosen (or its upper bound) depending on the form of pollution encountered, such as radiant pollution (including radioactivity and sound), air pollution (plumes, puffs, and motionless clouds by using the classical Gaussian model),…

PollutionMeteorologymedia_common.quotation_subjectAir pollutionmedicine.disease_causeUpper and lower boundsWeightingMultivariate interpolationsymbols.namesakeInverse distance weightingsymbolsExponentmedicineEnvironmental scienceGaussian network modelPhysics::Atmospheric and Oceanic Physicsmedia_commonSSRN Electronic Journal
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Pollution models and inverse distance weighting: some critical remarks

2013

International audience; When evaluating the impact of pollution, measurements from remote stations are often weighted by the inverse of distance raised to some nonnegative power (IDW). This is derived from Shepard's method of spatial interpolation (1968). The paper discusses the arbitrary character of the exponent of distance and the problem of monitoring stations that are close to the reference point. From elementary laws of physics, it is determined which exponent of distance should be chosen (or its upper bound) depending on the form of pollution encountered, such as radiant pollution (including radioactivity and sound), air pollution (plumes, puffs, and motionless clouds by using the cl…

PollutionMeteorologymedia_common.quotation_subjectAir pollutionmedicine.disease_causeWeightingdistance inverseUpper and lower boundsMultivariate interpolationsymbols.namesakeInverse distance weightingStatisticsmedicineIDW[ SHS.ECO ] Humanities and Social Sciences/Economies and financesComputers in Earth Sciences[SHS.ECO] Humanities and Social Sciences/Economics and FinancePhysics::Atmospheric and Oceanic Physicsmedia_commonMathematicsExponentexposant[SHS.ECO]Humanities and Social Sciences/Economics and Finance[SDE.ES]Environmental Sciences/Environmental and SocietyPollutionWeightingpondérationExponentsymbolsShepard[SDE.ES] Environmental Sciences/Environmental and SocietyGaussian network modelInverse distance[ SDE.ES ] Environmental Sciences/Environmental and SocietyInformation Systems
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Study and construction of the quasi-linear subdivision schemes over bi-regular meshs

2012

Subdivision schemes are commonly used to generate a smooth shape from a much more coarseone. The reverse subdivision is designed to describe a high resolution mesh from a coarse one. Bothof these tools are used in numerous graphical modelisation domains. In this thesis, we focused ontwo distinct aspects: on one hand the construction of quasi-linear subdivision schemes and on theother hand the construction of reverse quad/triangle subdivision schemes. The work, presented inthe context of the subdivision, describes the construction of a new type of subdivision schemes, andtheirs applications to solve some problems coming from the application of linear subdivision schemes.The work presented in…

Polynomial generationPolynomial reproduction[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM][INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Subdivision quad/triangle[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]Génération des polynômesInterpolation[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]QuasiinterpolationReverse subdivision[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]Schémas de subdivisionQuad/triangle subdivisionSubdivision schemesReproduction des polynômesSchémas de subdivision inverseApproximation
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On specific stability bounds for linear multiresolution schemes based on piecewise polynomial Lagrange interpolation

2009

Abstract The Deslauriers–Dubuc symmetric interpolation process can be considered as an interpolatory prediction scheme within Harten's framework. In this paper we express the Deslauriers–Dubuc prediction operator as a combination of either second order or first order differences. Through a detailed analysis of certain contractivity properties, we arrive to specific l ∞ -stability bounds for the multiresolution transform. A variety of tests indicate that these l ∞ bounds are closer to numerical estimates than those obtained with other approaches.

PolynomialApplied MathematicsMathematical analysisLagrange polynomialStability (probability)Polynomial interpolationsymbols.namesakeOperator (computer programming)Piecewise Lagrange interpolationsymbolsPiecewiseStabilityLinear multiresolutionAnalysisNumerical stabilityInterpolationMathematicsJournal of Mathematical Analysis and Applications
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Wavelet Frames Generated by Perfect Reconstruction Filter Banks

2015

It was indicated in Sect. 2.2 that oversampled perfect reconstruction (PR) filter banks generate specific types of frames in the signal space. In this chapter, a family of tight and semi-tight frames is presented. The three- and four-channel filter banks that generate the framed originate from polynomial and discrete splines. Those frames have properties, which are attractive for signal processing, such as symmetry, interpolation, flat spectra. These properties are combined with fine time-domain localization and efficient implementation. This family includes framelets, that have any number of discrete vanishing moments. Non-compactness of their supports is compensated by exponential decay o…

PolynomialSignal processingWaveletComputer scienceInterpolation (computer graphics)Filter (signal processing)Symmetry (geometry)Filter bankSignalAlgorithm
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