Search results for "INTERPOLATION"

showing 10 items of 331 documents

High Order in Space and Time Schemes Through an Approximate Lax-Wendroff Procedure

2017

This paper deals with the scheme proposed by the authors in Zorio, Baeza and Mulet (J Sci Comput 71(1):246–273, 2017). This scheme is an alternative to the techniques proposed in Qiu and Shu (SIAM J Sci Comput 24(6):2185–2198, 2003) to obtain high-order accurate schemes using Weighted Essentially Non Oscillatory finite differences and approximating the flux derivatives required by the Cauchy-Kovalevskaya procedure by simple centered finite differences. We analyse how errors in first-order terms near discontinuities propagate through both versions of the Cauchy-Kovalevskaya procedure. We propose a fluctuation control, for which the approximation of the first-order derivative to be used in th…

Discrete mathematicsSpacetimeLax–Wendroff methodSimple (abstract algebra)Scheme (mathematics)Finite differenceApplied mathematicsFluxClassification of discontinuitiesInterpolationMathematics
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Convolution of three functions by means of bilinear maps and applications

1999

When dealing with spaces of vector-valued analytic functions there is a natural way to understand multipliers between them. If X and Y are Banach spaces and L(X,Y ) stands for the space of linear and continuous operators we may consider the convolution of L(X,Y )-valued analytic functions, say F (z) = ∑ n=0∞ Tnz , and X-valued polynomials, say f(z) = ∑m n=0 xnz , to get the Y -valued function F ∗ f(z) = ∑ Tn(xn)z. The second author considered such a definition and studied multipliers between H(X) and BMOA(Y ) in [5]. When the functions take values in a Banach algebra A then the natural extension of multiplier is simply that if f(z) = ∑ anz n and g(z) = ∑ bnz , then f ∗ g(z) = ∑ an.bnz n whe…

Discrete mathematicsSymmetric bilinear formSesquilinear formGeneral MathematicsBanach spaceOrthogonal complementBilinear formMultiplier (Fourier analysis)46E40Tensor productInterpolation space46B2846G25MathematicsIllinois Journal of Mathematics
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Weakly continuous mappings on Banach spaces

1983

Abstract It is shown that every n -homogeneous continuous polynomial on a Banach space E which is weakly continuous on the unit ball of E is weakly uniformly continuous on the unit ball of E . Applications of the result to spaces of polynomials and holomorphic mappings on E are given.

Discrete mathematicsUniform continuityPure mathematicsBanach spaceInterpolation spaceUniformly convex spaceBanach manifoldInfinite-dimensional holomorphyReflexive spaceLp spaceAnalysisMathematicsJournal of Functional Analysis
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Interpolating sequences on uniform algebras

2009

Abstract We consider the problem of whether a given interpolating sequence for a uniform algebra yields linear interpolation. A positive answer is obtained when we deal with dual uniform algebras. Further we prove that if the Carleson generalized condition is sufficient for a sequence to be interpolating on the algebra of bounded analytic functions on the unit ball of c 0 , then it is sufficient for any dual uniform algebra.

Discrete mathematicsUnit sphereSequencePseudohyperbolic distanceUniform algebraInterpolating sequenceLinear interpolationDual (category theory)Analytic functionUniform algebraBounded functionGeometry and TopologyAlgebra over a fieldAnalytic functionMathematicsTopology
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Discrete wavelet transform based multispectral filter array demosaicking

2013

International audience; The idea of colour filter array may be adapted to multi-spectral image acquisition by integrating more filter types into the array, and developing associated demosaicking algorithms. Several methods employing discrete wavelet transform (DWT) have been proposed for CFA demosaicking. In this work, we put forward an extended use of DWT for mul-tispectral filter array demosaicking. The extension seemed straightforward, however we observed striking results. This work contributes to better understanding of the issue by demonstrating that spectral correlation and spatial resolution of the images exerts a crucial influence on the performance of DWT based demosaicking.

Discrete wavelet transformDWT based demosaickingHyperspectral imagingComputer scienceMultispectralMultispectral image[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologymultispectral filter array demosaicking01 natural sciencesfilter array[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingimage colour analysis[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionOptical filterImage resolutionimage segmentationDemosaicingmultispectral image acquisitionHyperspectral imagingimagingspectral correlationCorrelationCFA demosaicking[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage color analysis010309 optics0103 physical sciencesoptical filtersArraysspatial images resolution[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdiscrete wavelet transformbusiness.industryImage segmentationBinary treesDiscrete wavelet transformscolour filter arrayspectral analysisInterpolationdemosaickingFilter (video)Artificial intelligencebusinessimage resolution
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A Mesh-free Particle Method for Transient Full-wave Simulation

2007

A mesh-free particle method is presented for electromagnetic (EM) transient simulation. The basic idea is to obtain numerical solutions for the partial differential equations describing the EM problem in time domain, by using a set of particles, considered as spatial interpolation points of the field variables, arbitrarily placed in the problem domain and by avoiding the use of a regular mesh. Irregular problems geometry with diffused non-homogeneous media can be modeled only with an initial set of arbitrarily distributed particles. The time dependence is accounted for with an explicit finite difference scheme. Moreover the particle discretization can be improved during the process time ste…

DiscretizationComputational complexity theoryElectromagnetic (EM) transient analysiComputer scienceNumerical methodMultivariate interpolationReduction (complexity)Settore MAT/08 - Analisi NumericaElectromagnetic waveFull waveTime domainElectrical and Electronic EngineeringPhysicsPartial differential equationMathematical analysisFinite difference methodComputer simulationPartial differential equationsMesh freeInterpolationElectronic Optical and Magnetic MaterialsComputational complexitySmoothed particle interpolationSettore ING-IND/31 - ElettrotecnicaParticleComputational electromagneticsTransient (oscillation)Mesh-free particle methodInterpolation2006 12th Biennial IEEE Conference on Electromagnetic Field Computation
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A coupled Finite Volume–Smoothed Particle Hydrodynamics method for incompressible flows

2016

Abstract An hybrid approach is proposed which allows to combine Finite Volume Method (FVM) and Smoothed Particle Hydrodynamics (SPH). The method is based on the partitioning of the computational domain into a portion discretized with a structured grid of hexahedral elements (the FVM-domain ) and a portion filled with Lagrangian particles (the SPH-domain ), separated by an interface made of triangular elements. A smooth transition between the solutions in the FVM and SPH regions is guaranteed by the introduction of a layer of grid cells in the SPH-domain and of a band of virtual particles in the FVM one (both neighboring the interface), on which the hydrodynamic variables are obtained throug…

DiscretizationSPHComputational MechanicsGeneral Physics and AstronomyCoupled FVM–SPH approachBoundary condition01 natural sciences010305 fluids & plasmasSettore ICAR/01 - IdraulicaSmoothed-particle hydrodynamicsPhysics and Astronomy (all)0103 physical sciencesComputational mechanicsMechanics of Material0101 mathematicsMirror particleComputational MechanicPhysicsFinite volume methodMechanical EngineeringMathematical analysisSmoothed Particle HydrodynamicComputer Science Applications1707 Computer Vision and Pattern RecognitionGridComputer Science ApplicationsComputational physics010101 applied mathematicsMechanics of MaterialsCompressibilityReduction (mathematics)Interpolation
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The on-line coupled atmospheric chemistry model system MECO(n) – Part 5: Expanding the Multi-Model-Driver (MMD v2.0) for 2-way data exchange includin…

2018

Abstract. As part of the Modular Earth Submodel System (MESSy), the Multi-Model-Driver (MMD v1.0) was developed to couple online the regional Consortium for Small-scale Modeling (COSMO) model into a driving model, which can be either the regional COSMO model or the global European Centre Hamburg general circulation model (ECHAM) (see Part 2 of the model documentation). The coupled system is called MECO(n), i.e., MESSy-fied ECHAM and COSMO models nested n times. In this article, which is part of the model documentation of the MECO(n) system, the second generation of MMD is introduced. MMD comprises the message-passing infrastructure required for the parallel execution (multiple programme mul…

ECHAMatmospheric chemistryTheoretical computer science010504 meteorology & atmospheric sciencesComputer science0208 environmental biotechnology02 engineering and technology01 natural sciencesComputational scienceMESSyMECO(n)Erdsystem-Modellierungddc:550multi-scale modelling0105 earth and related environmental sciencesEMACtwo-way-nestinCOSMObusiness.industrylcsh:QE1-996.5grid transformationModular designGrid020801 environmental engineeringlcsh:GeologyEarth sciencesTransformation (function)Modular Earth Submodel SystemData exchangeLine (geometry)dustGRIDbusinessMulti-Model-DriverremappingInterpolationData transmissionGeoscientific Model Development
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Batch Methods for Resolution Enhancement of TIR Image Sequences

2015

Thermal infrared (TIR) time series are exploited by many methods based on Earth observation (EO), for such applications as agriculture, forest management, and meteorology. However, due to physical limitations, data acquired by a single sensor are often unsatisfactory in terms of spatial or temporal resolution. This issue can be tackled by using remotely sensed data acquired by multiple sensors with complementary features. When nonreal-time functioning or at least near real-time functioning is admitted, the measurements can be profitably fed to a sequential Bayesian algorithm, which allows to account for the correlation embedded in the successive acquisitions. In this work, we focus on appli…

Earth observationAtmospheric ScienceBayesian smoothing methodComputer scienceBayesian probabilityInterval (mathematics)Thermal imagecomputer.software_genreremote sensingComputers in Earth ScienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionimage enhancementComputers in Earth SciencesImage resolutionThermal imagesbusiness.industrySettore ING-INF/03 - TelecomunicazioniSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian smoothing methodsinterpolationTemporal resolutioncloud detectionBatch processingBayesian smoothing methods; cloud detection; image enhancement; interpolation; remote sensing; Thermal images; Computers in Earth Sciences; Atmospheric ScienceData miningArtificial intelligencebusinessFocus (optics)computerSmoothingSettore ICAR/06 - Topografia E Cartografia
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Statistical biophysical parameter retrieval and emulation with Gaussian processes

2019

Abstract Earth observation from satellites poses challenging problems where machine learning is being widely adopted as a key player. Perhaps the most challenging scenario that we are facing nowadays is to provide accurate estimates of particular variables of interest characterizing the Earth's surface. This chapter introduces some recent advances in statistical bio-geophysical parameter retrieval from satellite data. In particular, we will focus on Gaussian process regression (GPR) that has excelled in parameter estimation as well as in modeling complex radiative transfer processes. GPR is based on solid Bayesian statistics and generally yields efficient and accurate parameter estimates, a…

Earth observationEmulationComputer scienceEstimation theorycomputer.software_genreField (computer science)Bayesian statisticssymbols.namesakeKrigingsymbolsData miningcomputerGaussian processInterpolation
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