Search results for " estimation"

showing 10 items of 562 documents

2013

Abstract. It has become possible to retrieve the global, long-term trends of trace gases that are important to atmospheric chemistry, climate, and air quality from satellite data records that span more than a decade. However, many of the satellite remote sensing techniques produce measurements that have variable sensitivity to the vertical profiles of atmospheric gases. In the case of constrained retrievals like optimal estimation, this leads to a varying amount of a priori information in the retrieval and is represented by an averaging kernel (AK). In this study, we investigate to what extent the estimation of trends from retrieved data can be biased by temporal changes of averaging kernel…

TroposphereAtmospheric ScienceAtmosphere of EarthMeteorologyOptimal estimationAtmospheric chemistryMixing ratioEnvironmental scienceAir quality indexMOPITTTrace gasAtmospheric Chemistry and Physics
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Urban runoff modelling uncertainty: Comparison among Bayesian and pseudo-Bayesian methods

2009

Urban stormwater quality modelling plays a central role in evaluation of the quality of the receiving water body. However, the complexity of the physical processes that must be simulated and the limited amount of data available for calibration may lead to high uncertainty in the model results. This study was conducted to assess modelling uncertainty associated with catchment surface pollution evaluation. Eight models were compared based on the results of a case study in which there was limited data available for calibration. Uncertainty analysis was then conducted using three different methods: the Bayesian Monte Carlo method, the GLUE pseudo-Bayesian method and the GLUE method revised by m…

Urban stormwater modellingEnvironmental EngineeringSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleCalibration (statistics)Computer scienceEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaBayesian probabilityMonte Carlo methodBayesian methodGeneralised Likelihood Uncertainty EstimationStatisticsUncertainty assessmentSensitivity analysisSurface runoffGLUESoftwareReliability (statistics)Uncertainty analysisEnvironmental Modelling & Software
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Velocity estimation in wideband mobile stations equipped with multiple antennas

2009

©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Article also available from publisher: http://dx.doi.org/10.1109/VETECS.2009.5073907 A new method is proposed for estimating the velocity of wideband mobile stations (MSs) equipped with multiple antennas. The MS speed is determined using the well-known relationship between the direction-of-arrivals (DOAs) and the Doppler frequency shifts experienced by the mult…

Velocity estimationComputer scienceReal-time computingInterval (mathematics)Signalsymbols.namesakeSignal-to-noise ratioVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552symbolsWidebandAlgorithmDoppler effectMultipath propagationComputer Science::Information Theory
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2021

Abstract Reliable patient-specific ventricular repolarization times (RTs) can identify regions of functional block or afterdepolarizations, indicating arrhythmogenic cardiac tissue and the risk of sudden cardiac death. Unipolar electrograms (UEs) record electric potentials, and the Wyatt method has been shown to be accurate for estimating RT from a UE. High-pass filtering is an important step in processing UEs, however, it is known to distort the T-wave phase of the UE, which may compromise the accuracy of the Wyatt method. The aim of this study was to examine the effects of high-pass filtering, and improve RT estimates derived from filtered UEs. We first generated a comprehensive set of UE…

Ventricular RepolarizationRadiological and Ultrasound TechnologyArtificial neural networkComputer sciencebusiness.industryHealth InformaticsPattern recognitionFilter (signal processing)Computer Graphics and Computer-Aided Design030218 nuclear medicine & medical imagingProbabilistic estimation03 medical and health sciences0302 clinical medicineTime estimationApproximation errorSignificant errorRepolarizationRadiology Nuclear Medicine and imagingComputer Vision and Pattern RecognitionArtificial intelligencebusiness030217 neurology & neurosurgeryMedical Image Analysis
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Data for: Accurate representation of the distributions of the 3D Poisson-Voronoi typical cell geometrical features

2019

gvolume.txt contains the grid of points (xgrid.v) and the kernel density estimate (Epanechnikov kernel, cross validation bandwidth h=0.05) of volume of 1,000,000 Poisson-Voronoi typical cells ( intensity parameter lambda=1) evaluated in the grid points (y.v).gsurfacearea.txt contains the grid of points (xgrid.a) and the kernel density estimate (Epanechnikov kernel, cross validation bandwidth h=0.25) of surface area of 1,000,000 Poisson-Voronoi typical cells ( intensity parameter lambda=1) evaluated in the grid points (y.a).gnfaces.txt contains the absolute (nf) and relative frequencies (pf) of number of faces 1,000,000 Poisson-Voronoi typical cells ( intensity parameter lambda=1) THIS DATAS…

Voronoi DiagramDensity EstimationStatisticsFOS: MathematicsDistribution FunctionOtherInterdisciplinary sciencesGrain Size
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An assessment of the BEST procedure to estimate the soil water retention curve: A comparison with the evaporation method

2018

The Beerkan Estimation of Soil Transfer parameters (BEST) procedure is an attractive, easy, robust, and inexpensive way for a complete soil hydraulic characterization but testing the ability of this procedure to estimate the water retention curve is necessary as relatively little information is available in the literature. In this investigation the soil water retention curve was predicted for four differently textured soils by applying three existing BEST algorithms (i.e., slope, intercept and steady) and the results compared with those measured by the standard Wind evaporation method. A sensitivity analysis of the infiltration constants, beta and gamma, was also carried out and their impac…

Water retention curve0208 environmental biotechnologyBEST (Beerkan estimation of soil transfer parameters) procedureSoil ScienceSoil science04 agricultural and veterinary sciences02 engineering and technologySoil water retention020801 environmental engineeringWater retentionRoot mean squareInfiltration (hydrology)Reference valuesSoil water040103 agronomy & agriculturemedicineSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0401 agriculture forestry and fisheriesmedicine.symptomWind evaporation methodScale parameterMathematicsGeoderma
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Wavelet Analysis and Denoising: New Tools for Economists

2007

This paper surveys the techniques of wavelets analysis and the associated methods of denoising. The Discrete Wavelet Transform and its undecimated version, the Maximum Overlapping Discrete Wavelet Transform, are described. The methods of wavelets analysis can be used show how the frequency content of the data varies with time. This allow us to pinpoint in time such events as major structural breaks. The sparse nature of the wavelets representation also facilitates the process of noise reduction by nonlinear \textit{wavelet shrinkage,} which can be used to reveal the underlying trends in economic data. An application of these techniques to the UK real GDP (1873--2001) is described. The purpo…

Wavelets Denoising Structural Breaks Trend Estimation.Settore SECS-P/05 - Econometria
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Sampling procedure in a willow plantation for estimation of moisture content

2015

Abstract Heating value and fuel quality of wood is closely connected to moisture content. In this work the variation of moisture content (MC) of short rotation coppice (SRC) willow shoots is described for five clones during one harvesting season. Subsequently an appropriate sampling procedure minimising labour costs and sampling uncertainty is proposed, where the MC of a single stem section with the length of 10–50 cm corresponds to the mean shoot moisture content (MSMC) with a bias of maximum 11 g kg −1 . This bias can be reduced by selecting the stem section according to the particular clone. The average difference in MSMC between the largest and smallest shoot in a stump was 31 g kg −1 .…

WillowbiologyRenewable Energy Sustainability and the Environmentshort rotation coppiceSampling (statistics)ForestrySalixvertical distributionbiology.organism_classificationShort rotation forestryHorticultureCoppicingShootBotanybiomass estimationShort rotation coppiceWaste Management and DisposalAgronomy and Crop ScienceWater contentMathematicsWoody plantmoisture content
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On the a posteriori error analysis for linear Fokker-Planck models in convection-dominated diffusion problems

2018

This work is aimed at the derivation of reliable and efficient a posteriori error estimates for convection-dominated diffusion problems motivated by a linear Fokker-Planck problem appearing in computational neuroscience. We obtain computable error bounds of the functional type for the static and time-dependent case and for different boundary conditions (mixed and pure Neumann boundary conditions). Finally, we present a set of various numerical examples including discussions on mesh adaptivity and space-time discretisation. The numerical results confirm the reliability and efficiency of the error estimates derived.

Work (thermodynamics)Discretizationelliptic partial differential equations01 natural sciencesdiffuusiodiffuusio (fysikaaliset ilmiöt)mesh-adaptivityFOS: MathematicsNeumann boundary conditionApplied mathematicsBoundary value problemMathematics - Numerical Analysis0101 mathematicsDiffusion (business)virheanalyysiMathematicsosittaisdifferentiaaliyhtälötconvection-dominated diffusion problemsApplied Mathematicsta111010102 general mathematicsComputer Science - Numerical AnalysisNumerical Analysis (math.NA)a posteriori error estimation010101 applied mathematicsparabolic partial differential equationsComputational MathematicsElliptic partial differential equationA priori and a posterioriFokker–Planck equation
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Modelling and prediction of perceptual segmentation

2017

While listening to music, we somehow make sense of a multiplicity of auditory events; for example, in popular music we are often able to recognize whether the current section is a verse or a chorus, and to identify the boundaries between these segments. This organization occurs at multiple levels, since we can discern motifs, phrases, sections and other groupings. In this work, we understand segment boundaries as instants of significant change. Several studies on music perception and cognition have strived to understand what types of changes are associated with perceptual structure. However, effects of musical training, possible differences between real-time and non real-time segmentation, and…

Ydinestimointirakennemusiikkiperceptual segmentation taskhavaitseminenmuutosmusical structurekuunteleminensegmentointimusiikintutkimusmusiikkitiedekernel density estimationnovelty detectionmusical featuresmusical training
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