Search results for "Spectral"

showing 10 items of 3116 documents

HyperLabelMe : A Web Platform for Benchmarking Remote-Sensing Image Classifiers

2017

HyperLabelMe is a web platform that allows the automatic benchmarking of remote-sensing image classifiers. To demonstrate this platform's attributes, we collected and harmonized a large data set of labeled multispectral and hyperspectral images with different numbers of classes, dimensionality, noise sources, and levels. The registered user can download training data pairs (spectra and land cover/use labels) and submit the predictions for unseen testing spectra. The system then evaluates the accuracy and robustness of the classifier, and it reports different scores as well as a ranked list of the best methods and users. The system is modular, scalable, and ever-growing in data sets and clas…

General Computer ScienceContextual image classificationComputer scienceMultispectral imageRegistered user020206 networking & telecommunications02 engineering and technologyBenchmarkingcomputer.software_genreData setStatistical classificationComputingMethodologies_PATTERNRECOGNITIONRobustness (computer science)ITC-ISI-JOURNAL-ARTICLE0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingData miningElectrical and Electronic EngineeringInstrumentationcomputerClassifier (UML)IEEE Geoscience and Remote Sensing Magazine
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Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer

2022

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral efficiency and resistance towards inter symbol interference (ISI) however when exposed to substantial nonlinear distortion the issue of MAI manifests. Such distortion results when the power amplifiers are driven into saturation or when the transmit signal experiences extreme adverse channel conditions. The proposed technique uses a modified iterative block decision feedback equalizer (IB-DFE) that uses a minimal mean square error (MMSE) receiver …

General Computer ScienceIterative methodsMultiaccess communicationReceiversMMSENonlinear distortionCodesFeedbackCDMA[SPI]Engineering Sciences [physics]CDMA OFDM MAI MMSE IB-DFE Maximum Likelihood (ML)General Materials ScienceSpectral efficiencyMaximum likelihood (Ml)Electrical and Electronic EngineeringOFDMDecision feedback equalizers[PHYS]Physics [physics]TelecomunicacionesPower amplifiersGeneral EngineeringMAIMaximum Likelihood (ML)Multicarrier code division multiple accessAI and TechnologiesBit error rateIB-DFESignal detectionEngineering Research GroupIEEE Access
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Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy

2022

Mapping crop variables at different growth stages is crucial to inform farmers and plant breeders about the crop status. For mapping purposes, inversion of canopy radiative transfer models (RTMs) is a viable alternative to parametric and non-parametric regression models, which often lack transferability in time and space. Due to the physical nature of RTMs, inversion outputs can be delivered in sound physical units that reflect the underlying processes in the canopy. In this study, we explored the capabilities of the coupled leaf–canopy RTM PROSAIL applied to high-spatial-resolution (0.015 m) multispectral unmanned aerial vehicle (UAV) data to retrieve the leaf chlorophyll content (LC…

General Earth and Planetary SciencesUAV; multispectral; radiative transfer model; inversion; PROSAIL; leaf area index; leaf chlorophyll content; canopy chlorophyll contentRemote Sensing
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Resolvent estimates for the magnetic Schrödinger operator in dimensions $$\ge 2$$

2019

It is well known that the resolvent of the free Schr\"odinger operator on weighted $L^2$ spaces has norm decaying like $\lambda^{-\frac{1}{2}}$ at energy $\lambda$. There are several works proving analogous high-frequency estimates for magnetic Schr\"odinger operators, with large long or short range potentials, in dimensions $n \geq 3$. We prove that the same estimates remain valid in all dimensions $n \geq 2$.

General Mathematics010102 general mathematicsMathematics::Analysis of PDEsMathematics::Spectral TheoryLambda01 natural sciences010101 applied mathematicssymbols.namesakeOperator (computer programming)Mathematics - Analysis of PDEsNorm (mathematics)symbols0101 mathematicsSchrödinger's catResolventMathematicsMathematical physicsRevista Matemática Complutense
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Quantum systems with fractal spectra

2002

Abstract We study Hamiltonians with singular spectra of Cantor type with a constant ratio of dissection and show strict connections between the decay properties of the states in the singular subspace and the algebraic number theory. More specifically, we study the decay properties of free n-particle systems and the computability of decaying and non-decaying states in the singular continuous subspace.

General MathematicsApplied MathematicsAlgebraic number theoryComputabilityMathematical analysisGeneral Physics and AstronomyStatistical and Nonlinear PhysicsType (model theory)Spectral lineFractalHigh Energy Physics::ExperimentConstant (mathematics)QuantumSubspace topologyMathematical physicsMathematicsChaos, Solitons & Fractals
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Extending the spectral decomposition of Granger causality to include instantaneous influences: application to the control mechanisms of heart rate va…

2021

Assessing Granger causality (GC) intended as the influence, in terms of reduction of variance of surprise, that a driver variable exerts on a given target, requires a suitable treatment of ‘instantaneous’ effects, i.e. influences due to interactions whose time scale is much faster than the time resolution of the measurements, due to unobserved confounders or insufficient sampling rate that cannot be increased because the mechanism of generation of the variable is inherently slow (e.g. the heartbeat). We exploit a recently proposed framework for the estimation of causal influences in the spectral domain and include instantaneous interactions in the modelling, thus obtaining (i) a novel index…

General MathematicsGeneral Physics and AstronomyVector autoregressionMatrix decompositionCausality (physics)granger causalityGranger causalityHeart RateEconometricsvector autoregressionMedicine and Health SciencesHeart rate variabilitycardiorespiratory systemComputer SimulationTime seriesMathematicsinformation theoryGeneral Engineeringheart rate variabilityVariance (accounting)BaroreflexScience Generalspectral analysisCausalityVariable (computer science)Mathematics and Statisticstime series analysisAlgorithmsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences
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(K)over-bar* mesons in dense matter

2010

We study the properties of (K) over bar* mesons in nuclear matter using a unitary approach in coupled channels within the framework of the local hidden gauge formalism and incorporating the (K) over bar pi decay channel in matter. The in-medium (K) over bar *N interaction accounts for Pauli blocking effects and incorporates the (K) over bar* self-energy in a self-consistent manner. We also obtain the (K) over bar* (off-shell) spectral function and analyze its behavior at finite density and momentum. At a normal nuclear matter density, the (K) over bar* meson feels a moderately attractive potential, while the (K) over bar* width becomes five times larger than in free space. We estimate the t…

General theory of fields and particlesNEUTRON-STARSHIDDEN LOCAL SYMMETRYNuclear TheoryHigh Energy Physics::PhenomenologyTeoria de camps (Física)CHIRAL DYNAMICSFísicaSpecific reactions and phenomenologyHEAVY-ION COLLISIONSIN-MEDIUM KAONBOUND-STATESSPECTRAL-FUNCTIONProperties of specific particlesHigh Energy Physics::ExperimentRHO-MESONVECTOR-MESONSNUCLEAR-MATTER
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An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

2022

In this paper an innovative and simple Operational Modal Analysis (OMA) method for structural dynamic identification is proposed. It combines the recently introduced Time Domain–Analytical Signal Method (TD–ASM) with the Genetic Algorithm (GA). Specifically, TD–ASM is firstly employed to estimate a subspace of candidate modal parameters, and then the GA is used to identify the structural parameters minimizing the fitness value returned by an appropriately introduced objective function. Notably, this method can be used to estimate structural parameters even for high damping ratios, and it also allows one to identify the Power Spectral Density (PSD) of the structural excitat…

Genetic AlgorithmPower Spectral Densitystructural dynamic identificationStructural Health MonitoringArchitecturecorrelation functionBuilding and Constructioncorrelation function; Power Spectral Density; Structural Health Monitoring; Hilbert transform; Genetic Algorithm; structural dynamic identification; Operational Modal AnalysisSettore ICAR/08 - Scienza Delle CostruzioniHilbert transformOperational Modal AnalysiCivil and Structural EngineeringBuildings; Volume 12; Issue 7; Pages: 963
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A comparison theorem for the first Dirichlet eigenvalue of a domain in a Kaehler submanifold

1994

AbstractWe give a sharp lower bound for the first eigenvalue of the Dirichlet eigenvalue problem on a domain of a complex submanifold of a Kaehler manifold with curvature bounded from above. The bound on the first eigenvalue is given as a function of the extrinsic outer radius and the bounds on the curvature, and it is attained only on geodesic spheres of a space of constant holomorphic sectional curvature embedded in the Kaehler manifold as a totally geodesic submanifold.

GeodesicMathematics::Complex VariablesMathematical analysisHolomorphic functionGeneral MedicineKähler manifoldMathematics::Spectral TheorySubmanifoldCurvaturesymbols.namesakeDirichlet eigenvaluesymbolsDirichlet's theorem on arithmetic progressionsMathematics::Differential GeometrySectional curvatureMathematics::Symplectic GeometryMathematicsJournal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics
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Modelling the appearance of chromatic environment using hyperspectral imaging

2013

Color of objects is a spectral composition of incident light source, reflection properties of the object itself, and spectral tuning of the eye. Light sources with different spectral characteristics can produce metameric representation of color; however most variable in this regard is vision. Pigments of color vision are continuously bleached by different stimuli and optical density of the pigment is changed, while continuous conditions provide an adaptation and perception of white. Special cases are color vision deficiencies which cover almost 8 % of male population in Europe. Hyperspectral imaging allows obtaining the spectra of the environment and modelling the performance of the dichrom…

GeographyOpticsPrimary colorColor constancyDominant wavelengthColor visionbusiness.industryColor balanceColor temperaturebusinessSpectral colorCIE 1931 color spaceRemote sensingSPIE Proceedings
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