Search results for "Frequency domain"

showing 10 items of 141 documents

An analytical model to evaluate the radiated power spectrum of a multipactor discharge in a parallel-plate region

2008

This paper is aimed at studying the electromagnetic radiation pattern of a multipactor discharge occurring in a parallel-plate waveguide. The proposed method is based on the Fourier expansion of the multipactor current in terms of time-harmonic currents radiating in the parallel-plate region. Classical radiation theory combined with the frequency domain Green's function of the problem allows the calculation of both the electric and the magnetic radiated fields. A novel analytical formula for the total radiated power of each multipactor harmonic has been derived. This formula is suitable for predicting multipactor with the third-harmonic technique. The proposed formulation has been successfu…

Multipactor effectparallel-plate waveguideThird harmonic detection techniqueTécnicaPotencia radiadaEffective radiated powerElectromagnetic radiationRadiation patternsymbols.namesakeEfecto multipactorOpticsMicrowave dischargesElectrical and Electronic EngineeringRadiated powermultipactor effectPhysicsTeoría de la Señal y las Comunicacionesbusiness.industrySpectral densityParallel plate waveguideElectronic Optical and Magnetic MaterialsComputational physicsMagnetic fieldGuía de ondas de placa paralelaTercer armónico de detenciónFourier analysisFrequency domainradiated powersymbolsMultipactor effectbusinessthird-harmonic detection techniqueDescarga de microondas
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Assessing directional interactions among multiple physiological time series: The role of instantaneous causality

2012

This paper deals with the assessment of frequency domain causality in multivariate (MV) time series with significant instantaneous interactions. After providing different causality definitions, we introduce an extended MV autoregressive modeling approach whereby each definition is described in the time domain in terms of the model coefficients, and is quantified in the frequency domain by means of novel measures of directional connectivity. These measures are illustrated in a theoretical example showing how they reduce to known indexes when instantaneous causality is trivial, while they describe peculiar aspects of directional interaction in the presence of instantaneous causality. The appl…

Multivariate statisticsBrain MappingSeries (mathematics)Biomedical EngineeringBrainElectroencephalographyHealth InformaticsCausality (physics)Autoregressive modelFrequency domainMultivariate AnalysisSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaEconometricsHumansTime domainTime seriesNerve NetAlgorithmAlgorithmsMathematics1707
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Assessing Frequency Domain Causality in Cardiovascular Time Series with Instantaneous Interactions

2009

Summary Background: The partial directed coherence (PDC) is commonly used to assess in the frequency domain the existence of causal relations between two time series measured in conjunction with a set of other time series. Although the multivariate autoregressive (MVAR) model traditionally used for PDC computation accounts only for lagged effects, instantaneous effects cannot be neglected in the analysis of cardiovascular time series. Objectives: We propose the utilization of an extended MVAR model for PDC computation, in order to improve the evaluation of frequency domain causality in the presence of zero-lag correlations among multivariate time series. Methods: A procedure for the identif…

Multivariate statisticsComputationDiagnostic Techniques CardiovascularHealth InformaticsHealth Information ManagementExtended modelGranger causalityReference ValuesEconometricsCardiovascular interactionHumansCoherence (signal processing)MathematicsHealth InformaticAdvanced and Specialized NursingPartial directed coherenceModels CardiovascularAC powerCausalityAutoregressive modelFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisGranger causalityLinear ModelsRegression AnalysisAlgorithmMethods of Information in Medicine
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Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis

2011

This tutorial paper introduces a common framework for the evaluation of widely used frequency-domain measures of coupling (coherence, partial coherence) and causality (directed coherence, partial directed coherence) from the parametric representation of linear multivariate (MV) processes. After providing a comprehensive time-domain definition of the various forms of connectivity observed in MV processes, we particularize them to MV autoregressive (MVAR) processes and derive the corresponding frequency-domain measures. Then, we discuss the theoretical interpretation of these MVAR-based connectivity measures, showing that each of them reflects a specific time-domain connectivity definition an…

Multivariate statisticsInformation transferTime FactorsArticle SubjectImmunology and Microbiology (all)Computer scienceBiostatisticslcsh:Computer applications to medicine. Medical informaticsGeneral Biochemistry Genetics and Molecular BiologyCausality (physics)HumansRepresentation (mathematics)Parametric statisticsBiochemistry Genetics and Molecular Biology (all)General Immunology and MicrobiologyMedicine (all)Applied MathematicsMedicine (all); Modeling and Simulation; Immunology and Microbiology (all); Biochemistry Genetics and Molecular Biology (all); Applied MathematicsElectroencephalographySignal Processing Computer-AssistedGeneral MedicineCoherence (statistics)Nonlinear DynamicsAutoregressive modelModeling and SimulationFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaMultivariate AnalysisLinear Modelslcsh:R858-859.7AlgorithmResearch ArticleComputational and Mathematical Methods in Medicine
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Information decomposition in the frequency domain: a new framework to study cardiovascular and cardiorespiratory oscillations

2021

While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectral decomposition of multivariate information measures, which provides frequency-specific quantifications of the information shared between a target and two source time series and of its expansion into amounts related to how the sources contribute to the target dynamics with unique, redundant and synergistic information. The framework is illustrated in simulations of linearly interacting stochastic processes, showing how it allows us to retrieve …

Multivariate statisticsMultivariate analysisComputer scienceGeneral MathematicsGeneral Physics and AstronomyBlood PressureCardiovascular SystemMatrix decompositionHeart RateDecomposition (computer science)HumansHeart rate variabilityStatistical physicsSeries (mathematics)Stochastic processRespirationautonomic nervous systemGeneral EngineeringMultivariate time series analysisheart rate variabilityredundancy and synergyCardiorespiratory fitnesscoherence function multivariate time-series analysiTerm (time)Autonomic nervous systemInformation dynamicFrequency domainMultivariate AnalysisBiological system
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Measuring frequency domain granger causality for multiple blocks of interacting time series

2011

In the past years, several frequency-domain causality measures based on vector autoregressive time series modeling have been suggested to assess directional connectivity in neural systems. The most followed approaches are based on representing the considered set of multiple time series as a realization of two or three vector-valued processes, yielding the so-called Geweke linear feedback measures, or as a realization of multiple scalar-valued processes, yielding popular measures like the directed coherence (DC) and the partial DC (PDC). In the present study, these two approaches are unified and generalized by proposing novel frequency-domain causality measures which extend the existing meas…

Multivariate statisticsTime FactorsGeneral Computer ScienceLogarithmScalar (mathematics)Complex systemTopologyModels BiologicalNeurophysiological time serieBlock-based connectivity analysiGranger causalityStatisticsHumansComputer SimulationDirected coherenceMathematicsNumerical analysisPartial directed coherenceBrainElectroencephalographyVector autoregressive (VAR) modelBrain WavesCausalityAutoregressive modelFrequency domainComputer ScienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityAlgorithmsBiotechnologyBiological Cybernetics
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Extended causal modeling to assess Partial Directed Coherence in multiple time series with significant instantaneous interactions.

2010

The Partial Directed Coherence (PDC) and its generalized formulation (gPDC) are popular tools for investigating, in the frequency domain, the concept of Granger causality among multivariate (MV) time series. PDC and gPDC are formalized in terms of the coefficients of an MV autoregressive (MVAR) model which describes only the lagged effects among the time series and forsakes instantaneous effects. However, instantaneous effects are known to affect linear parametric modeling, and are likely to occur in experimental time series. In this study, we investigate the impact on the assessment of frequency domain causality of excluding instantaneous effects from the model underlying PDC evaluation. M…

Multivariate statisticsTime FactorsGeneral Computer ScienceModels NeurologicalPattern Recognition AutomatedCardiovascular Physiological PhenomenaElectrocardiographyGranger causalityArtificial IntelligenceEconometricsCoherence (signal processing)AnimalsHumansComputer SimulationEEGPartial Directed CoherenceMathematicsCausal modelMultivariate autoregressive modelComputer Science (all)Linear modelElectroencephalographySignal Processing Computer-AssistedCardiovascular variabilityAutoregressive modelFrequency domainParametric modelSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityMultivariate time serieLinear ModelsNeural Networks ComputerBiotechnologyBiological cybernetics
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Multivariate Frequency Domain Analysis of Causal Interactions in Physiological Time Series

2011

A common way of obtaining information about a physiological system is to measure one or more signals from the system, consider their temporal evolution in the form of numerical time series, and obtain quantitative indexes through the application of time series analysis techniques. While historical approaches to time series analysis were addressed to the study of single signals, recent advances have made it possible to study collectively the behavior of several signals measured simultaneously from the considered system. In fact, multivariate (MV) time series analysis is nowadays extensively used to characterize interdependencies among multiple signals collected from dynamical physiological s…

Multivariate statisticsmedicine.diagnostic_testComputer sciencebusiness.industryLinear modelPattern recognitionNeurophysiologyElectroencephalographyRespiratory flowCausality connectivity VAR modelsFrequency domainSettore ING-INF/06 - Bioingegneria Elettronica E InformaticamedicineArtificial intelligenceTime seriesbusinessTime complexity
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Spectral broadening of the Soret band in myoglobin: an interpretation by the full spectrum of low-frequency modes from a normal modes analysis.

2005

In this work the temperature dependence of the Soret band line shape in carbon-monoxy myoglobin is re-analyzed by using both the full correlator approach in the time domain and the frequency domain approach. The new analyses exploit the full density of vibrational states of carbon-monoxy myoglobin available from normal modes analysis, and avoid the artificial division of the entire set of vibrational modes coupled to the Soret transition into "high-frequency" and "low-frequency" subsets; the frequency domain analysis, however, makes use of the so-called short-times approximation, while the time domain one avoids it. Time domain and frequency domain analyses give very similar results, thus s…

Myoglobin Molecular Dynamics Simulation active siteChemistryMyoglobinSpectrum AnalysisAnharmonicityBiophysicsAnalytical chemistryTemperatureGeneral MedicineMolecular physicsVibrationSpectral lineModels ChemicalNormal modeMolecular vibrationFrequency domainComputer SimulationTime domainHarmonic oscillatorDoppler broadeningEuropean biophysics journal : EBJ
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Design, modelling, and analysis of a large floating dock for spar floating wind turbine installation

2020

Installation of floating wind turbines at the offshore site is a challenging task. A significant part of the time efficiency and costs are related to the installation methods which are sensitive to weather conditions. This study investigates a large floating dock concept, which can be used to shield a floating wind turbine during installation of tower, nacelle, and rotor onto a spar foundation. In this paper, the concept is described in detail, and a design optimisation is carried out using simple design constraints. Hydrodynamic analysis and dynamic response analysis of the coupled system of the optimum dock and spar are conducted. Two spars of different sizes are considered, and the motio…

NacelleFloating dock0211 other engineering and technologies020101 civil engineeringOcean EngineeringFloating wind turbine02 engineering and technology0201 civil engineeringlaw.inventionlawDOCKGeneral Materials ScienceSpar021101 geological & geomatics engineeringWind powerDesign optimisationRotor (electric)business.industryMechanical EngineeringResponse analysisSpar floating wind turbineSwellFrequency domainVDP::Teknologi: 500Dynamic responseNumerical modellingMechanics of MaterialsOffshore installationHydrodynamicsTime domainbusinessGeologyMarine engineeringMarine Structures
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