Search results for "signal processing"

showing 10 items of 2451 documents

An updated version of the computational package SIMPRE that uses the standard conventions for Stevens crystal field parameters

2014

The crystal field approach used by SIMPRE is analyzed, verifying the exactness of the results concerning energy levels and magnetic properties calculated by the package. To coincide with the prevailing conventions, we reformulate the presentation of the crystal field parameters, so that the results are now, also from a formal point of view, strictly correct. New calculations are presented to test the influence of neglecting the excited J states, a common but critical approximation employed by SIMPRE. For that, we examine the case of Er(trensal) complex (H3 trensal = 2,2',2″-tris(salicylideneimino)triethylamine) where the influence of this approximation is found to be minimal. A patched vers…

Crystal (programming language)Computational MathematicsField (physics)Computer scienceComputational chemistryCode (cryptography)Point (geometry)General ChemistrySoftware packageAlgorithmEnergy (signal processing)Journal of Computational Chemistry
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Vacuum-ultraviolet absorption of hydrogenated and deuterated silanol groups and interstitial water molecules in amorphousSiO2

2005

Vacuum-ultraviolet (VUV) absorption cross sections of hydrogenated and deuterated silanol groups (SiOX, where $\mathrm{X}=\mathrm{H}$ or D) as well as interstitial water molecules $({\mathrm{X}}_{2}\mathrm{O})$ in amorphous $\mathrm{Si}{\mathrm{O}}_{2}$ $(a\text{\ensuremath{-}}\mathrm{Si}{\mathrm{O}}_{2})$ were determined between photon energies of 7 and $8.2\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$. The absorption bands for the deuterated species are blueshifted compared to those for the hydrogenated ones by $\ensuremath{\sim}0.1\phantom{\rule{0.3em}{0ex}}\text{to}\phantom{\rule{0.3em}{0ex}}0.2\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ as a result of a decrease in the zero-point energy associat…

CrystallographyMaterials scienceDeuteriumAbsorption spectroscopyHydrogen bondZero-point energyMoleculeAbsorption (logic)Atomic physicsCondensed Matter PhysicsEnergy (signal processing)Electronic Optical and Magnetic MaterialsAmorphous solidPhysical Review B
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Analog Photonic Fractional Signal Processing

2018

Fil: Cuadrado Laborde, Christian. Universidad de Valencia. Instituto Universitario de Ciencia de los Materiales; España Fil: Cuadrado Laborde, Christian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Cuadrado Laborde, Christian. Pontificia Universidad Católica Argentina. Facultad de Química e Ingeniería del Rosario; Argentina Fil: Poveda-Wong, Luis. Universidad de Valencia. Instituto Universitario de Ciencia de los Materiales; España Fil: Carrascosa, Antonio. Universidad de Valencia. Instituto Universitario de Ciencia de los Materiales ; España Fil: Diez, Antonio. Universidad de Valencia. Instituto Universitario de Ciencia de los Materiales; España Fil: Cruz, Jo…

Current (mathematics)Computer scienceFIBRA OPTICAContext (language use)02 engineering and technology01 natural scienceslaw.invention010309 opticssymbols.namesake020210 optoelectronics & photonicslaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineeringEnvelope (waves)Signal processingbusiness.industryINGENIERIA ELECTRONICAPulse (physics)ELECTRONICA DE LAS COMUNICACIONESFourier transformsymbolsPROCESAMIENTO DIGITAL DE SEÑALESPhotonicsbusinessWaveguide
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On real-time algorithms for the location search of discontinuous conductivities with one measurement

2008

We discuss, and compare, two simple methods that provide coordinates of a point in the vicinity of one inclusion within some object with homogeneous electrical properties. In the context of nondestructive testing such an inclusion may correspond to a material defect, whereas in medicine this may correspond to a lesion in the brain, to name only two possible applications. Both methods use only one pair of voltage/current measurements on the entire boundary of the object to determine a single pair of coordinates that is considered to be close to the center of the inclusion. The first method has been proposed previously by Kwon, Seo and Yoon; the second method, called here the effective dipole…

Current (mathematics)business.industryApplied MathematicsBoundary (topology)Context (language use)Inverse problemComputer Science ApplicationsTheoretical Computer ScienceDipoleSimple (abstract algebra)Nondestructive testingSignal ProcessingPoint (geometry)businessAlgorithmMathematical PhysicsMathematicsInverse Problems
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Tensor decomposition of EEG signals: A brief review

2015

Electroencephalography (EEG) is one fundamental tool for functional brain imaging. EEG signals tend to be represented by a vector or a matrix to facilitate data processing and analysis with generally understood methodologies like time-series analysis, spectral analysis and matrix decomposition. Indeed, EEG signals are often naturally born with more than two modes of time and space, and they can be denoted by a multi-way array called as tensor. This review summarizes the current progress of tensor decomposition of EEG signals with three aspects. The first is about the existing modes and tensors of EEG signals. Second, two fundamental tensor decomposition models, canonical polyadic decomposit…

Current (mathematics)canonical polyadicNeuroscience(all)Electroencephalographyevent-related potentialsSignalMatrix decompositionMatrix (mathematics)tensor decompositionDecomposition (computer science)medicineEEGTensorLeast-Squares AnalysisEvoked PotentialsMathematicsCanonical polyadicSignalQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testGeneral NeuroscienceBrainElectroencephalographySignal Processing Computer-AssistedTuckerTensor decompositiontuckeraivotFactor Analysis StatisticalsignalAlgorithmEvent-related potentialsTucker decompositionJournal of Neuroscience Methods
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Quantifying and Processing Biomedical and Behavioral Signals

2019

Customer CareUser ModellingSocial Science ScholarshipMachine Learning MethodsNeural Networksbusiness.industryComplex Human-Computer InterfacesSituated Human-Computer Interaction (HCI)Social Signal ProcessingArtificial IntelligenceDaily Life ActivitiesSocial Behaviour and ContextMedicinebusinessBiometric DataHealth & Well Being
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Simultaneous measurement of temperature and strain in glass fiber/epoxy composites by embedded fiber optic sensors: II. Post-cure testing

2007

In this paper the use of fiber optic sensors embedded into GFRP laminates for structural health monitoring of thermo-mechanical loads is presented. The proposed sensing system, consisting of two coupled fiber Bragg grating (FBG) sensors, allows the simultaneous measurement of both temperature and strain by decoupling the change in reflected wavelength induced by temperature variations from that induced by either mechanical or apparent strain, with significant advantages either for monitoring the composite cure kinetics, as described in the accompanying paper (Part I), or for assessing the structural response to thermo-mechanical loads. Both thermal ramp and mechanical static/dynamic bending…

DAMAGE DETECTIONQuasi-static bending testsTRANSVERSE CRACKSFiber Bragg grating (FBG) sensorsDynamic testsCoefficient of thermal expansion (CTE)Condensed Matter PhysicsAtomic and Molecular Physics and OpticsCONCRETE STRUCTURESMechanics of MaterialsGFRP composite materialsSignal ProcessingGeneral Materials ScienceElectrical and Electronic EngineeringBRAGG GRATING SENSORSFiber Bragg grating (FBG) sensors; GFRP composite materials; Quasi-static bending tests; Dynamic tests; Coefficient of thermal expansion (CTE)Civil and Structural EngineeringFBG SENSORSCURE
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Switching times in long-overlap Josephson junctions subject to thermal fluctuations and non-Gaussian noise sources

2014

We investigate the superconducting lifetime of long current-biased Josephson junctions, in the presence of Gaussian and non-Gaussian noise sources. In particular, we analyze the dynamics of a Josephson junction as a function of the noise signal intensity, for different values of the parameters of the system and external driving currents. We find that the mean lifetime of the superconductive state is characterized by nonmonotonic behavior as a function of noise intensity, driving frequency and junction length. We observe that these nonmonotonic behaviours are connected with the dynamics of the junction phase string during the switching towards the resistive state. An important role is played…

DYNAMICSJosephson effectKRAMERS PROBLEMPhase (waves)Thermal fluctuationsFOS: Physical sciencesNoise processes and phenomenaSettore FIS/03 - Fisica Della MateriaPi Josephson junctionSuperconductivity (cond-mat.supr-con)symbols.namesakeLEVY FLIGHTSCALING LAWSCondensed Matter::SuperconductivityMesoscale and Nanoscale Physics (cond-mat.mes-hall)Stochastic analysis methodFluctuation phenomenaANOMALOUS DIFFUSIONENHANCED STABILITYSuperconductivityPhysicsRESONANT ACTIVATIONCondensed Matter - Mesoscale and Nanoscale PhysicsCondensed matter physicsNoise (signal processing)Condensed Matter - SuperconductivityBiasingJosephson deviceCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsZERO-VOLTAGE STATEGaussian noisesymbolsZERO-VOLTAGE STATE; ALPHA-STABLE NOISE; RESONANT ACTIVATION; LEVY FLIGHT; ANOMALOUS DIFFUSION; ENHANCED STABILITY; KRAMERS PROBLEM; SCALING LAWS; DYNAMICS; BEHAVIORALPHA-STABLE NOISEBEHAVIOR
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Search for Technicolor Particles Produced in Association with a W Boson at CDF

2010

7 páginas, 3 figuras, 1 tabla.-- PACS numbers: 14.80.Tt, 12.60.Nz, 13.85.Rm.-- CDF Collaboration: et al.

DYNAMICSParticle physicsHadronTevatronGeneral Physics and AstronomyFOS: Physical sciencesElementary particleddc:500.27. Clean energy01 natural sciences114 Physical sciencesStandard ModelHigh Energy Physics - ExperimentNuclear physicsSYMMETRY-BREAKINGHigh Energy Physics - Experiment (hep-ex)13.85.Rm 14.80.Bn0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Invariant mass010306 general physicsPhysicsMuon010308 nuclear & particles physicsPhysicsHigh Energy Physics::PhenomenologySYMMETRY-BREAKING; DYNAMICSHigh Energy Physics::ExperimentEnergy (signal processing)Lepton
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Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…

Damage detectionComputer scienceTKGeneral MathematicsInterface (computing)General Physics and AstronomyCompressive sensing machine learning non-destructive evaluation structural health monitoring transfer learning ultrasoundMachine learningcomputer.software_genreMachine LearningSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineEngineeringManufacturing and Industrial FacilitiesNon destructiveHumansUltrasonicsFeature databusiness.industryUltrasonic testingGeneral EngineeringBayes TheoremSignal Processing Computer-AssistedArticlesRoboticsData CompressionIdentification (information)Regression AnalysisStructural health monitoringArtificial intelligenceTransfer of learningbusinesscomputerAlgorithmsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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