Search results for "PROBABILITY DENSITY"

showing 10 items of 187 documents

Statistical Properties of Double Hoyt Fading With Applications to the Performance Analysis of Wireless Communication Systems

2018

In this paper, we investigate the statistical properties of double Hoyt fading channels, where the overall received signal is determined by the product of two statistically independent but not necessarily identically distributed single Hoyt processes. Finite-range integral expressions are first derived for the probability density function (PDF), cumulative distribution function (CDF), level-crossing rate (LCR), and average duration of fades of the envelope fading process. A closed-form approximate solution is also deduced for the LCR by making use of the Laplace approximation theorem. Applying the derived PDF of the double Hoyt channel, we then provide analytical expressions for the average…

Independent and identically distributed random variablesGeneral Computer ScienceGaussianProbability density function02 engineering and technologyDouble Hoyt fading channel modelsymbols.namesake0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceFadingGaussian processMathematicsComputer Science::Information TheoryCumulative distribution function020208 electrical & electronic engineeringMathematical analysisGeneral Engineering020206 networking & telecommunicationsvehicular-to-vehicular (V2V) channelsLaplace's methodprobability density function (PDF)symbolsaverage duration of fades (ADF)cumulative distribution function (CDF)lcsh:Electrical engineering. Electronics. Nuclear engineeringlevel-crossing rate (LCR)lcsh:TK1-9971Quadrature amplitude modulationIEEE Access
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Probabilistic quantum clustering

2020

Abstract Quantum Clustering is a powerful method to detect clusters with complex shapes. However, it is very sensitive to a length parameter that controls the shape of the Gaussian kernel associated with a wave function, which is employed in the Schrodinger equation with the role of a density estimator. In addition, linking data points into clusters requires local estimates of covariance which requires further parameters. This paper proposes a Bayesian framework that provides an objective measure of goodness-of-fit to the data, to optimise the adjustable parameters. This also quantifies the probabilities of cluster membership, thus partitioning the data into a specific number of clusters, w…

Information Systems and ManagementJaccard indexComputer scienceProbabilistic logicEstimatorProbability density function02 engineering and technologyFunction (mathematics)CovarianceMeasure (mathematics)Management Information Systemssymbols.namesakeArtificial Intelligence020204 information systems0202 electrical engineering electronic engineering information engineeringGaussian functionsymbolsCluster (physics)020201 artificial intelligence & image processingStatistical physicsQASoftwareQuantum clusteringKnowledge-Based Systems
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Mapping properties of weakly singular periodic volume potentials in Roumieu classes

2020

The analysis of the dependence of integral operators on perturbations plays an important role in the study of inverse problems and of perturbed boundary value problems. In this paper, we focus on the mapping properties of the volume potentials with weakly singular periodic kernels. Our main result is to prove that the map which takes a density function and a periodic kernel to a (suitable restriction of the) volume potential is bilinear and continuous with values in a Roumieu class of analytic functions. This result extends to the periodic case of some previous results obtained by the authors for nonperiodic potentials, and it is motivated by the study of perturbation problems for the solut…

Integral operatorsNumerical AnalysisIntegral operators; Periodic kernels; Periodic volume potentials; Roumieu classes; Special nonlinear operatorsDifferential equationApplied Mathematics010102 general mathematicsMathematical analysisSpecial nonlinear operatorsBilinear interpolationPerturbation (astronomy)Probability density functionInverse problem01 natural sciences31B10010101 applied mathematicsSettore MAT/05 - Analisi MatematicaKernel (statistics)Boundary value problemPeriodic volume potentials0101 mathematics47H30Roumieu classesPeriodic kernelsAnalytic functionMathematics
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Searches for B0 decays to combinations of charmless isoscalar mesons

2004

We search for B meson decays into two-body combinations of eta, eta', omega, and phi mesons from 89 million B B-bar pairs collected with the BaBar detector at the PEP-II asymmetric-energy e+e- collider at SLAC. We find the branching fraction BF(B0 -> eta omega) = (4.0^{+1.3}_{-1.2} +- 0.4) x 10^-6 with a significance of 4.3 sigma. For all the other decay modes we set the following 90% confidence level upper limits on the branching fractions, in units of 10^-6 : BF(B0 -> eta eta)<2.8, BF(B0 -> eta eta')<4.6, BF(B0 -> eta' eta')<10, BF(B0 -> eta'omega)<2.8, BF(B0 -> eta phi)<1.0, BF(B0 -> eta' phi)<4.5, BF(B0 -> phi phi)<1.5.

IsoscalarElectron–positron annihilationBABARGeneral Physics and AstronomyQCD FACTORIZATION01 natural sciencesOmega13.25.Hw 11.30.Er 12.15.HhHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)Mathematical modelProbability density function[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]PEP2B mesonNuclear ExperimentQCD FACTORIZATION; STANDARD MODEL; BABAR; SLACPhysicsQuantum chromodynamicsSigmaHamiltonianMonte Carlo methodSensitivity analysiPARTICLE PHYSICSBranching fractionSLACParticle physicsMesonSTANDARD MODELQCD FACTORIZATION STANDARD MODELFOS: Physical sciencesLikelihood distributionPARTICLE PHYSICS; PEP2; BABARSolenoidHigh energy physicNuclear physicsPhysics and Astronomy (all)ElectromagnetismElectromagnetic calorimeterPseudoscalar meson0103 physical sciencesPerturbation technique010306 general physicsCalorimeterError analysi010308 nuclear & particles physicsBranching fractionHEPMagnetic fieldHigh Energy Physics::Experiment
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Breakdown of separability due to confinement

2017

A simple system of two particles in a bidimensional configurational space S is studied. The possibility of breaking in S the time-independent Schrodinger equation of the system into two separated one-dimensional one-body Schrodinger equations is assumed. In this paper, we focus on how the latter property is countered by imposing such boundary conditions as confinement to a limited region of S and/or restrictions on the joint coordinate probability density stemming from the sign-invariance condition of the relative coordinate (an impenetrability condition). Our investigation demonstrates the reducibility of the problem under scrutiny into that of a single particle living in a limited domain …

Jacobi θ3-functionMathematical analysisStatistical and Nonlinear PhysicsRhombusProbability density functionFunction (mathematics)Space (mathematics)01 natural sciencesSettore FIS/03 - Fisica Della MateriaSquare (algebra)center of ma010305 fluids & plasmasSchrödinger equationsymbols.namesakeconfinementquantum boundary condition0103 physical sciencessymbolstime evolutionBoundary value problemRectangle010306 general physicsMathematical PhysicsStatistical and Nonlinear PhysicMathematicsReports on Mathematical Physics
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Quantitative analysis of crystal/grain sizes and their distributions in 2D and 3D

2011

Abstract We review methods to estimate the average crystal (grain) size and the crystal (grain) size distribution in solid rocks. Average grain sizes often provide the base for stress estimates or rheological calculations requiring the quantification of grain sizes in a rock’s microstructure. The primary data for grain size data are either 1D (i.e. line intercept methods), 2D (area analysis) or 3D (e.g., computed tomography, serial sectioning). These data have been used for different data treatments over the years, whereas several studies assume a certain probability function (e.g., logarithm, square root) to calculate statistical parameters as the mean, median, mode or the skewness of a cr…

LogarithmSquare rootSkewnessNucleationStatistical parameterMineralogyGeologyProbability density functionBiological systemMicrostructureGeologyGrain sizeJournal of Structural Geology
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Relevance of Tool Life Testing for Tool Replacement Strategies

1986

Several analytical and simulation models have been proposed in order to select the optimal tool replacement strategies both in single and multi-tool machining operations. All of these models, however, assume as known the probability density function that describes the stochastic behaviour of tool life. The costly efforts required in order to achieve an accurate estimate of the p.d.f. limits the use in the shop practice of the above models.

MachiningComputer scienceOrder (business)Simulation modelingRelevance (information retrieval)Probability density functionReliability engineeringLife testing
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Determination of highly porous plastic foam structural characteristics by processing light microscopy images data

2013

Mathematical modelling of physical and mechanical properties of plastic foam as well as numerous practical applications requires knowledge of foam structural characteristics. A necessity exists to determine the characteristics of the spatial structure of inhomogeneous materials comprising inclusions of other material, e.g., polyurethane foam without destructing the material and analysis of each element. A methodology is elaborated for preparing highly porous plastic foam specimens and investigation of foam strut-like structure with light microscopy (LM) by taking images in three mutually perpendicular planes. A mathematical model is developed for highly porous plastic foam for the determina…

Materials sciencePolymers and PlasticsSpatial structureProbability density functionGeneral ChemistrySurfaces Coatings and Filmschemistry.chemical_compoundDistribution functionchemistryHighly porousMicroscopyMaterials ChemistryPerpendicularPlastic foamComposite materialPolyurethaneJournal of Applied Polymer Science
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Stochastic reconstruction of sandstones

2000

A simulated annealing algorithm is employed to generate a stochastic model for a Berea and a Fontainebleau sandstone with prescribed two-point probability function, lineal path function, and ``pore size'' distribution function, respectively. We find that the temperature decrease of the annealing has to be rather quick to yield isotropic and percolating configurations. A comparison of simple morphological quantities indicates good agreement between the reconstructions and the original sandstones. Also, the mean survival time of a random walker in the pore space is reproduced with good accuracy. However, a more detailed investigation by means of local porosity theory shows that there may be s…

Mathematical optimizationCondensed Matter - Materials ScienceStochastic modellingStochastic processIsotropyMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesGeometryProbability density functionPhysics::GeophysicsDistribution functionRandom walker algorithmSimulated annealingPorosityGeology
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Stochastic analysis of external and parametric dynamical systems under sub-Gaussian Levy white-noise

2008

In this study stochastic analysis of non-linear dynamical systems under α-stable, multiplicative white noise has been conducted. The analysis has dealt with a special class of α-stable stochastic processes namely sub-Gaussian white noises. In this setting the governing equation either of the probability density function or of the characteristic function of the dynamical response may be obtained considering the dynamical system forced by a Gaussian white noise with an uncertain factor with α/2- stable distribution. This consideration yields the probability density function or the characteristic function of the response by means of a simple integral involving the probability density function …

Mathematical optimizationDynamical systems theoryCharacteristic function (probability theory)Stochastic processMechanical EngineeringFokker-Planck equationProbability density functionLévy white noiseBuilding and ConstructionWhite noiseStable processstochastic differential calculusymbols.namesakeAdditive white Gaussian noiseMechanics of MaterialssymbolsStatistical physicssub-Gaussian white noise.Settore ICAR/08 - Scienza Delle CostruzioniRandom dynamical systemCivil and Structural EngineeringMathematicsStructural Engineering and Mechanics
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