Search results for "Numerical"

showing 10 items of 2002 documents

Spectrum cartography using adaptive radial basis functions: Experimental validation

2017

In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative centroid locations in a machine learning context. We assume no prior knowledge about neither the power spectral densities (PSD) of the transmitters nor their locations. Instead, the received signal power at each location is estimated as a linear combination of different RBFs. The weights of the RBFs, their Gaussian decaying parameters and locations are jointly optimized using expectation maximization with a least squares loss function and a quadratic regularizer. The perfor…

Signal processingComputer scienceGaussianCentroid020206 networking & telecommunicationsContext (language use)02 engineering and technologyComputer Science::Computational GeometryLeast squaresComputer Science::Numerical Analysissymbols.namesakeExpectation–maximization algorithm0202 electrical engineering electronic engineering information engineeringsymbolsRadial basis functionLinear combinationCartography
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Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix

2018

In this paper, we consider the case in which one needs to carry out Gabor analysis and synthesis on large signals using a short support analysis window and its corresponding, possibly longer canonical dual window, respectively. In this asymmetric context, we propose a novel factorization of the Gabor frame operator that exploits its strong and well-known structure and leads to a computational cost for synthesis, which is comparable to the one needed for short support analysis. The proposed factorization applies to any Gabor system with very mild conditions and leads to a potentially promising alternative to current synthesis algorithms in the case of short analysis windows whose support is …

Signal processingCurrent (mathematics)Computer science020206 networking & telecommunicationsContext (language use)010103 numerical & computational mathematics02 engineering and technology01 natural sciencesTime–frequency analysisMatrix decompositionMatrix (mathematics)Operator (computer programming)FactorizationSignal Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringAlgorithmIEEE Transactions on Signal Processing
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Depth-of-Field Enhancement in Integral Imaging by Selective Depth-Deconvolution

2014

One of the major drawbacks of the integral imaging technique is its limited depth of field. Such limitation is imposed by the numerical aperture of the microlenses. In this paper, we propose a method to extend the depth of field of integral imaging systems in the reconstruction stage. The method is based on the combination of deconvolution tools and depth filtering of each elemental image using disparity map information. We demonstrate our proposal presenting digital reconstructions of a 3-D scene focused at different depths with extended depth of field.

Signal processingIntegral imagingOptical diffractionbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionÒpticaCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsNumerical apertureOpticsComputer visionDepth of fieldDeconvolutionArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessGeologyJournal of Display Technology
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Testing steady-state analysis of single-ring and square pressure infiltrometer data

2016

Testing reliability of the saturated soil hydraulic conductivity, Ks, estimated by applying the steady-state single-ring (SR) model to the quasi steady-state infiltration rates obtained with a single-ring pressure infiltrometer (PI) increases confidence in the estimated Ks values. Determining a means to estimate Ks from infiltration data collected with a square infiltrometer allows the use of sources of different shapes. Using numerically simulated infiltration rates for six homogeneous soils ranging in texture from sand to silty clay loam, this investigation suggested an overall good performance of the SR model, with estimated Ks values differing by not more than 25% from the true values f…

Single-ring pressure infiltrometer0208 environmental biotechnologySquare infiltrometerSoil ScienceSoil scienceNumerical simulation04 agricultural and veterinary sciences02 engineering and technologyInfiltration (HVAC)020801 environmental engineeringSaturated soil hydraulic conductivityHydraulic conductivityLoamSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesInfiltrometerSpatial variabilitySaturation (chemistry)PondingMathematicsGeoderma
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Multidomain spectral method for the Gauss hypergeometric function

2018

International audience; We present a multidomain spectral approach for Fuchsian ordinary differential equations in the particular case of the hypergeometric equation. Our hybrid approach uses Frobenius’ method and Moebius transformations in the vicinity of each of the singular points of the hypergeometric equation, which leads to a natural decomposition of the real axis into domains. In each domain, solutions to the hypergeometric equation are constructed via the well-conditioned ultraspherical spectral method. The solutions are matched at the domain boundaries to lead to a solution which is analytic on the whole compactified real line R∪∞, except for the singular points and cuts of the Rie…

Singular differential equationsMathematics::Classical Analysis and ODEsRiemann sphere[MATH] Mathematics [math]010103 numerical & computational mathematics01 natural sciencessymbols.namesakeFOS: MathematicsHypergeometric functionMathematics - Numerical Analysis[MATH]Mathematics [math]0101 mathematicsHypergeometric functionQAMathematicsLaplace's equationApplied MathematicsRiemann surfaceMathematical analysisNumerical Analysis (math.NA)[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA]Hypergeometric distribution010101 applied mathematicsSpectral methodsHarmonic functionOrdinary differential equationsymbolsSpectral method[MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]Numerical Algorithms
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Saturation excess runoff numerical simulation

2005

Saturation excess runoff is a relevant process which needs additional experimental and modeling efforts. This work is focused on its numerical modeling. The final objective is the successive interpretation of ongoing experimental monitoring results in two watersheds in different areas of Italy where the saturation excess runoff formation mechanism seems to be important. The numerical solution of the two-dimensional Richards’ equation allows the evaluation of the sensitivity to the various influent parameters : rainfall intensity, soil properties, depth and initial water content, slope and hillslope length. Also the subsurface flow is simulated at the same time, allowing the evaluation of th…

Soil Saturation excess Numerical solution Richards equationSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
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Numerical study of soliton stability, resolution and interactions in the 3D Zakharov–Kuznetsov equation

2021

International audience; We present a detailed numerical study of solutions to the Zakharov-Kuznetsov equation in three spatial dimensions. The equation is a three-dimensional generalization of the Korteweg-de Vries equation, though, not completely integrable. This equation is L-2-subcritical, and thus, solutions exist globally, for example, in the H-1 energy space.We first study stability of solitons with various perturbations in sizes and symmetry, and show asymptotic stability and formation of radiation, confirming the asymptotic stability result in Farah et al. (0000) for a larger class of initial data. We then investigate the solution behavior for different localizations and rates of de…

Soliton stabilityIntegrable systemStrong interactionSoliton resolutionSpace (mathematics)01 natural sciencesStability (probability)Zakharov-Kuznetsov equationMathematics - Analysis of PDEsExponential stabilityFOS: MathematicsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]Soliton interactionMathematical physicsPhysics[PHYS]Physics [physics]Radiation010102 general mathematicsStatistical and Nonlinear PhysicsNumerical Analysis (math.NA)Condensed Matter PhysicsSymmetry (physics)Exponential function010101 applied mathematicsNonlinear Sciences::Exactly Solvable and Integrable SystemsSolitonAnalysis of PDEs (math.AP)
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4D paleoenvironmental evolution of the Early Triassic Sonoma Foreland Basin (western USA)

2017

In the wake of the Mesozoic, the Early Triassic (~251.95 Ma) corresponds to the aftermath of the most severe mass extinction of the Phanerozoic: the end-Permian crisis, when life was nearly obliterated (e.g., 90% of marine species disappeared). Consequences of this mass extinction are thought to have prevailed for several millions of years, implying a delayed recovery lasting the whole Early Triassic, if not more. Several paradigms have been established and associated to a delayed biotic recovery scenario expected to have resulted from harsh and deleterious paleoenvironments. These paradigms include a global anoxia in the marine realm, a “Lilliput” effect, and the presence of “disaster” tax…

Sonoma Foreland BasinBassin Ouest-Américain[SDU.STU.GM] Sciences of the Universe [physics]/Earth Sciences/GeomorphologyLower TriassicWestern USAReconstitutions paléoenvironnementalesRediversification post-CriseReconstruction palinspastiquesPost-Crisis recoverySonoma Foreland Basin western USA Early Triassic integrated study sedimentology geochemistry paleontology structural geology numerical modelling GIS geological mapping paleoenvironmental reconstructionsPaleoenvironmental reconstructionsPalinspastic reconstructionsTrias inférieur
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Bill2d - a software package for classical two-dimensional Hamiltonian systems

2015

Abstract We present Bill2d , a modern and efficient C++ package for classical simulations of two-dimensional Hamiltonian systems. Bill2d can be used for various billiard and diffusion problems with one or more charged particles with interactions, different external potentials, an external magnetic field, periodic and open boundaries, etc. The software package can also calculate many key quantities in complex systems such as Poincare sections, survival probabilities, and diffusion coefficients. While aiming at a large class of applicable systems, the code also strives for ease-of-use, efficiency, and modularity for the implementation of additional features. The package comes along with a use…

Source codeTheoretical computer scienceComputer sciencechaosmedia_common.quotation_subjectclassical mechanicsFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmasHamiltonian systemComputational sciencenumerical simulationsnonlinear dynamicsREADME0103 physical sciences010306 general physicsmedia_commonta114Application programming interfacebusiness.industrydiffusionByteComputational Physics (physics.comp-ph)Modular designmolecular dynamicsIdentifierHardware and ArchitecturetransportbilliardsbusinessPhysics - Computational PhysicsTest data
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Analytical evaluation of structural response for stationary multicorrelated input

1990

Abstract An analytical procedure is presented which can drastically reduce computational effort in the evaluation of the spectral moments of an elastic linear multi-degree-of-freedom system subjected to a stationary multicorrelated input process. The reduction in computer time is possible since the cross-spectral moments of two oscillators can be obtained in recursive manner as a linear combination of the spectral moment of each oscillator taken separately, which is evaluated by means of a very fast numerical technique.

Spectral momentsComputer programStochastic processMechanical EngineeringNumerical techniqueProcess (computing)Structural analysisComputer Science ApplicationsMoment (mathematics)Modeling and SimulationApplied mathematicsGeneral Materials ScienceSpectral momentsLinear combinationReduction (mathematics)Structural analysis; Spectral momentsAlgorithmCivil and Structural EngineeringMathematicsComputers & Structures
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