Search results for "interpolation."

showing 10 items of 253 documents

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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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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A Smoothed Particle Interpolation Scheme for Transient Electromagnetic Simulation

2006

In this paper, the fundamentals of a mesh-free particle numerical method for electromagnetic transient simulation are presented. The smoothed particle interpolation methodology is used by considering the particles as interpolation points in which the electromagnetic field components are computed. The particles can be arbitrarily placed in the problem domain: No regular grid, nor connectivity laws among the particles, have to be initially stated. Thus, the particles can be thickened only in distinct confined areas, where the electromagnetic field rapidly varies or in those regions in which objects of complex shape have to be simulated. Maxwell’s equations with the assigned boundary and initi…

Electromagnetic fieldPhysicsElectromagnetic (EM) transient analysiNumerical analysisMesh-free numerical techniqueSPHMathematical analysisFinite-difference time-domain methodNumerical MethodElectronic Optical and Magnetic MaterialsRegular gridsymbols.namesakeSmoothed particle interpolationSettore MAT/08 - Analisi NumericaSettore ING-IND/31 - ElettrotecnicaClassical mechanicsMaxwell's equationsElectromagnetismsymbolsParticleElectrical and Electronic EngineeringInterpolation
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Adaptive Sequential Interpolator Using Active Learning for Efficient Emulation of Complex Systems

2020

Many fields of science and engineering require the use of complex and computationally expensive models to understand the involved processes in the system of interest. Nevertheless, due to the high cost involved, the required study becomes a cumbersome process. This paper introduces an interpolation procedure which belongs to the family of active learning algorithms, in order to construct cheap surrogate models of such costly complex systems. The proposed technique is sequential and adaptive, and is based on the optimization of a suitable acquisition function. We illustrate its efficiency in a toy example and for the construction of an emulator of an atmosphere modeling system.

Emulationexperimental designAtmosphere (unit)010504 meteorology & atmospheric sciencesComputer scienceProcess (engineering)Active learning (machine learning)media_common.quotation_subjectBayesian optimization0211 other engineering and technologiesComplex systemAdaptive interpolation02 engineering and technology01 natural sciencesComputer engineeringactive learningActive learningFunction (engineering)Bayesian optimization021101 geological & geomatics engineering0105 earth and related environmental sciencesmedia_commonInterpolationICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Approximating Empirical Surface Reflectance Data through Emulation: Opportunities for Synthetic Scene Generation

2019

Collection of spectroradiometric measurements with associated biophysical variables is an essential part of the development and validation of optical remote sensing vegetation products. However, their quality can only be assessed in the subsequent analysis, and often there is a need for collecting extra data, e.g., to fill in gaps. To generate empirical-like surface reflectance data of vegetated surfaces, we propose to exploit emulation, i.e., reconstruction of spectral measurements through statistical learning. We evaluated emulation against classical interpolation methods using an empirical field dataset with associated hyperspectral spaceborne CHRIS and airborne HyMap reflectance spectra…

Emulationspectroscopy010504 meteorology & atmospheric sciencesComputer scienceScienceQ0211 other engineering and technologiesHyperspectral imagingemulation02 engineering and technology01 natural sciencesReflectivityinterpolationData cubemachine learningscene simulationGeneral Earth and Planetary Sciencesemulation; machine learning; interpolation; spectroscopy; scene simulationSpectral resolutionSpectroscopyHyMap021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingInterpolationRemote Sensing
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RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping

2015

Indoor RF-based localization using fingerprint mapping requires an initial training step, which represents a time consuming process. This location methodology needs a database conformed with RSSI (Radio Signal Strength Indicator) measures from the communication transceivers taken at specific locations within the localization area. But, the real world localization environment is dynamic and it is necessary to rebuild the fingerprint database when some environmental changes are made. This paper explores the use of different interpolation functions to complete the fingerprint mapping needed to achieve the sought accuracy, thereby reducing the effort in the training step. Also, different distri…

Engineering802.15.4 networkscomputer.software_genrelcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryRF-Locationlcsh:TP1-1185Electrical and Electronic Engineeringfinger-printingInstrumentationbusiness.industryFingerprint (computing)Process (computing)Pattern recognitionRadio signal strengthAtomic and Molecular Physics and OpticsinterpolationInitial trainingFingerprint databaseData miningArtificial intelligenceTransceiverbusinesscomputerInterpolationSensors
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