Search results for "Spectral"

showing 10 items of 3116 documents

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
researchProduct

Smooth Feshbach map and operator-theoretic renormalization group methods

2003

Abstract A new variant of the isospectral Feshbach map defined on operators in Hilbert space is presented. It is constructed with the help of a smooth partition of unity, instead of projections, and is therefore called smooth Feshbach map . It is an effective tool in spectral and singular perturbation theory. As an illustration of its power, a novel operator-theoretic renormalization group method is described and applied to analyze a general class of Hamiltonians on Fock space. The main advantage of the new renormalization group method over its predecessors is its technical simplicity, which it owes to the use of the smooth Feshbach map.

Singular perturbationClass (set theory)010102 general mathematicsMathematical analysisHilbert spaceRenormalization group01 natural sciencesFock spacesymbols.namesakeIsospectralPartition of unity0103 physical sciencessymbolsFunctional renormalization group010307 mathematical physics0101 mathematicsAnalysisMathematical physicsMathematicsJournal of Functional Analysis
researchProduct

Site effects assessment through historical and instrumental data integration

2006

ABSTRACT This work illustrates the historical data contribution to the analysis of the microtremor survey results carried out in May 2003 in the city of Palermo by the Istituto Nazionale di Geofisica e Vulcanologia and the Dipartimento di Geologia e Geodesia – University of Palermo. The microtremor survey has been carried out within the project SESAME (Site EffectS assessment using AMbient Excitations) funded by the European Commission, devoted to test the effectiveness of the seismic noise, and in particular of Nakamura technique, in the site effects assessment. The Nakamura technique singles out zones characterized by a near-surface geology suitable to produce site effects, by exploiting …

Site effects Microtremors GIS Spectral AnalysisSettore GEO/02 - Geologia Stratigrafica E SedimentologicaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct

Skimager for the objective erythema estimation in atopic dogs

2020

In this study, the severity of canine skin erythema was assessed objectively for the first time. Atopic dermatitis (AD) is a common canine inflammatory and pruritic skin disease associated with an allergic reaction to exogenous allergens. The monitoring of skin erythema over time with lesion severity scales like the CADESI-4 is an essential diagnostic and research tool, especially for clinical trials. Currently, the erythema assessment is subjective due to visual estimation. In our study, we calculated the erythema index (EI) in 14 atopic dogs based on the analysis of multispectral skin images taken with the Skimager device. The relationship between the EI and a visual erythema estimation w…

Skin erythemamedicine.medical_specialtyAllergic reactionErythema040301 veterinary sciencesErythema IndexOptical measurementsErythema severity01 natural sciences0403 veterinary scienceLesionMultispectral imagingDogsDisease severity scalesmedicineVisual estimationAtopic dermatitisintegumentary systembusiness.industry010401 analytical chemistry04 agricultural and veterinary sciencesAtopic dermatitismedicine.diseaseDermatology3. Good health0104 chemical sciencesCADESI-4medicine.symptombusinessSkin lesionSkimager
researchProduct

Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

2012

International audience; Large soil spectral libraries compiling thousands of NIR (Near Infrared) reflectance spectra have been created encompassing a wide diversity and heterogeneity of spectra. Among the many chemometric approaches to the calibration of chemical and physical properties from these large libraries, local calibrations have the advantage of being able to select the most similar spectra to the spectrum of a target sample. This is particularly relevant when dealing with highly heterogeneous media such as soils, where the mineral matrix has a strong influence on spectral features. A crucial step in the implementation of local calibration procedures is the construction of local ne…

Soil testCorrelation coefficientnear infrared spectroscopy[SDV]Life Sciences [q-bio]Fast Fourier transformfast fourier transformsample selection010501 environmental sciences01 natural sciencesAnalytical ChemistryStatisticsPartial least squares regressionsoil spectral databaseSpectroscopySelection (genetic algorithm)0105 earth and related environmental sciencesMathematicscompression methodsMahalanobis distancelocal calibrationbusiness.industryProcess Chemistry and TechnologyLocal regressionPattern recognition04 agricultural and veterinary sciences15. Life on landComputer Science Applications[SDE]Environmental SciencesPrincipal component analysis040103 agronomy & agriculture0401 agriculture forestry and fisheriesArtificial intelligencebusinessSoftwareChemometrics and Intelligent Laboratory Systems
researchProduct

Neural network prediction of AE data

1997

Neural network (NN) models were constructed to study prediction of the AE index. Both solar wind (vBz) and previous observed AE inputs were used to predict AE data for different numbers of time steps ahead. It seems that prediction of the original unsmoothed AE data is possible only for 10 time steps (25 min) ahead. The predicted time series of the AE data for 50 time steps (125 min) ahead was found to be dynamically different from the original time series. It is possible that the NN model cannot reproduce the turbulent part of the power spectrum of the AE data. However, when using smoothed AE data the prediction for 10 time steps ahead gave an NMSE of 0.0438, and a correlation coefficient …

Solar windGeophysicsIndex (economics)Series (mathematics)Correlation coefficientArtificial neural networkMeteorologyGeneral Earth and Planetary SciencesSpectral densitySolar physicsLead timeMathematicsGeophysical Research Letters
researchProduct

Modeling lightning observations from space-based platforms (CloudScat.jl 1.0)

2020

This is an open access article. This work is distributed under the Creative Commons Attribution 4.0 License.

Source codeSoftware_OPERATINGSYSTEMS010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectMultispectral imageReal-time computingCloud computingComputingMilieux_LEGALASPECTSOFCOMPUTINGclouds01 natural sciencesComponent (UML)0103 physical sciencesInternational Space Station010303 astronomy & astrophysics0105 earth and related environmental sciencesmedia_commonHardware_MEMORYSTRUCTURESbusiness.industrylcsh:QE1-996.5scatteringAtmosphärische SpurenstoffeModular designLightninglcsh:GeologySatellitebusinesslightning
researchProduct

Multispectral images-based background subtraction using Codebook and deep learning approaches

2020

This dissertation aims to investigate the multispectral images in moving objects detection via background subtraction, both with classical and deep learning-based methods. As an efficient and representative classical algorithm for background subtraction, the traditional Codebook has first been extended to multispectral case. In order to make the algorithm reliable and robust, a self-adaptive mechanism to select optimal parameters has then been proposed. In this frame, new criteria in the matching process are employed and new techniques to build the background model are designed, including box-based Codebook, dynamic Codebook and fusion strategy. The last attempt is to investigate the potent…

Soustraction d'arrière-PlanModèle de Codebook[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Multispectral imagesBackground subtractionDeep learningCodebook modelImages multispectrales
researchProduct

On the statistical properties of the capacity of sparse multipath fading channels

2014

Most existing works in wireless communications assume rich scattering. However, there is growing experimental evidence that physical wireless channels can exhibit a sparse structure. By assuming an asymmetric Doppler power spectral density (PSD), we can model and simulate sparse channels by using a finite sum of weighted complex harmonic functions, also called sum of cisoids (SOC). In this paper, we focus on the analysis of the statistical properties of the instantaneous capacity of sparse SOC-based multipath fading channels under line-of-sight (LOS) conditions. The probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average…

Spatial correlationComputer sciencebusiness.industryCumulative distribution functionElectrical engineeringSpectral densityProbability density functionsymbols.namesakeChannel capacitysymbolsFadingStatistical physicsRayleigh scatteringbusinessMultipath propagationComputer Science::Information Theory2014 International Conference on Advanced Technologies for Communications (ATC 2014)
researchProduct

Assessing daily actual evapotranspiration through energy balance: an experiment to evaluate the selfpreservation hypothesis with acquisition time

2013

An operational use of the actual evapotranspiration estimates requires the integration from instantaneous to daily values. This can commonly be achieved under the hypothesis of daytime self-preservation of the evaporative fraction. In this study, it has been evaluated the effect of this assumption on the assessment of daily evapotranspiration from proximity sensing images acquired at hourly intervals over a homogeneous olive groove. Results have been validated by comparison with observations made by a micrometeorological (EC-flux tower) and an eco-physiological (sap flux) sensor. SEBAL model has been applied to thermal and multispectral images acquired during a clear day on August 2009 trou…

Spatial resolutionSEBALDaytimeEvapotranspirationMeteorologyMultispectral imageSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaEnergy balanceFluxEnergy balanceEnergy balance; Evapotranspiration; Self-preservation hypothesis; Spatial resolutionGeographyConsistency (statistics)Evapotranspirationenergy balance evapotranspiration self-preservation hypothesis spatial resolutionSelf-preservation hypothesisSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliImage resolutionSettore ICAR/06 - Topografia E CartografiaRemote sensing
researchProduct