Search results for "PROBABILITY DENSITY"

showing 10 items of 187 documents

Quantum resonant activation

2017

Quantum resonant activation is investigated for the archetype setup of an externally driven two-state (spin-boson) system subjected to strong dissipation by means of both analytical and extensive numerical calculations. The phenomenon of resonant activation emerges in the presence of either randomly fluctuating or deterministic periodically varying driving fields. Addressing the incoherent regime, a characteristic minimum emerges in the mean first passage time to reach an absorbing neighboring state whenever the intrinsic time scale of the modulation matches the characteristic time scale of the system dynamics. For the case of deterministic periodic driving, the first passage time probabili…

PhysicsStatistics and ProbabilityQuantum PhysicsScale (ratio)FOS: Physical sciencesProbability density functionDissipationCondensed Matter Physics01 natural sciencesSettore FIS/03 - Fisica Della Materia010305 fluids & plasmasSystem dynamicsCritical frequencyControl theory0103 physical sciencesModulation (music)Statistical physicsFirst-hitting-time model010306 general physicsQuantum Physics (quant-ph)QuantumStatistical and Nonlinear Physics; Statistics and Probability; Condensed Matter PhysicsStatistical and Nonlinear Physic
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A global descriptor of spatial pattern interaction in the galaxy distribution

1997

We present the function J as a morphological descriptor for point patterns formed by the distribution of galaxies in the Universe. This function was recently introduced in the field of spatial statistics, and is based on the nearest neighbor distribution and the void probability function. The J descriptor allows to distinguish clustered (i.e. correlated) from ``regular'' (i.e. anti-correlated) point distributions. We outline the theoretical foundations of the method, perform tests with a Matern cluster process as an idealised model of galaxy clustering, and apply the descriptor to galaxies and loose groups in the Perseus-Pisces Survey. A comparison with mock-samples extracted from a mixed d…

PhysicsStructure formationAstrophysics (astro-ph)FOS: Physical sciencesAstronomy and AstrophysicsProbability density functionAstrophysicsFunction (mathematics)Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsGalaxyField (geography)k-nearest neighbors algorithmSpace and Planetary ScienceStatistical physicsCluster analysisSpatial analysisAstrophysics::Galaxy Astrophysics
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Time-of-arrival, angle-of-arrival, and angle-of-departure statistics of a novel simplistic disk channel model

2011

This paper introduces a novel simplistic geometrical disk scattering model in which the local scatterers are uniformly distributed in polar coordinates within a disk centered on the mobile station (MS). The proposed joint uniform distribution in polar coordinates results in a higher concentration of scatterers around the disk center and a lower concentration far from it. Furthermore, it is assumed that the base station (BS) is elevated to a non-scattering region and that a wave transmitted from the BS reaches the MS after a single bounce by one of the randomly distributed scatterers. Under the above-mentioned assumptions, we derive closed-form expressions for the joint probability density f…

PhysicsUniform distribution (continuous)Time of arrivalbusiness.industryJoint probability distributionAngle of arrivalMobile stationMathematical analysisProbability density functionPolar coordinate systemTelecommunicationsbusinessDelay spread2011 5th International Conference on Signal Processing and Communication Systems (ICSPCS)
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Non-classical Velocity Statistics in Counterflow Quantum Turbulence

2014

In this work we analyse the statistical distribution of turbulent superfluid velocity components in a He II counterflow channel, via two-dimensional numerical simulations pre- sented in past studies. The Probability Density Functions (PDFs) of the superfluid velocity components are investigated at lengthscales smaller than the average intervortex spacing, for varying vortex densities and different wall-normal distances. The results obtained con- firm the non-classical signature of quantum turbulence already observed in past numerical studies.

PhysicsWork (thermodynamics)Partial differential equationTurbulenceApplied MathematicsQuantum turbulenceNon-Gaussian velocity statisticProbability density functionMechanicsQuantum turbulenceVortexPhysics::Fluid DynamicsSuperfluidityThermal counterflowClassical mechanicsSuperfluid heliumSettore MAT/07 - Fisica MatematicaSuperfluid helium-4Acta Applicandae Mathematicae
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A study on the distribution of the envelope and the capacity of underwater acoustic channels

2014

This paper deals with the statistical analysis of the instantaneous capacity of shallow underwater acoustic communication (UWAC) channels under the assumption that the scatterers are randomly distributed on the surface and bottom of the ocean. We start by deriving exact closed-form expressions for the probability density function (PDF) of the total propagation path length from which the PDF of the path gains is obtained. Then, we study the distributions of the channel envelope and the capacity under line-of-sight (LOS) conditions. By performing the chi-square goodness-of-fit test, it is shown that the channel envelope is Rice distributed. Moreover, we investigate the effect of the ocean dep…

Physicsbusiness.industryAcousticsProbability density functionChannel capacityPath lengthPath (graph theory)UnderwaterTelecommunicationsbusinessEnvelope (mathematics)Underwater acoustic communicationComputer Science::Information TheoryCommunication channel2014 IEEE International Conference on Communication Systems
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Dissipative rogue waves: extreme pulses generated by passively mode-locked lasers.

2011

We study numerically rogue waves in dissipative systems, taking as an example a unidirectional fiber laser in a nonstationary regime of operation. The choice of specific set of parameters allows the laser to generate a chaotic sequence of pulses with a random distribution of peak amplitudes. The probability density function for the intensity maxima has an elevated tail at higher intensities. We have found that the probability of producing extreme pulses in this setup is higher than in any other system considered so far. © 2011 American Physical Society.

Physicsbusiness.industryMode (statistics)Optical rogue wavesProbability density functionLaserlaw.inventionOpticsAmplitudelawFiber laserDissipative systemRogue wavebusinessPhysical review. E, Statistical, nonlinear, and soft matter physics
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Verhulst model with Lévy white noise excitation

2008

The transient dynamics of the Verhulst model perturbed by arbitrary non-Gaussian white noise is investigated. Based on the infinitely divisible distribution of the Levy process we study the nonlinear relaxation of the population density for three cases of white non-Gaussian noise: (i) shot noise, (ii) noise with a probability density of increments expressed in terms of Gamma function, and (iii) Cauchy stable noise. We obtain exact results for the probability distribution of the population density in all cases, and for Cauchy stable noise the exact expression of the nonlinear relaxation time is derived. Moreover starting from an initial delta function distribution, we find a transition induc…

Physicswhite noise excitationStatistical Mechanics (cond-mat.stat-mech)Shot noiseFOS: Physical sciencesCauchy distributionDirac delta functionProbability density functionWhite noiseCondensed Matter PhysicsNoise (electronics)Lévy processElectronic Optical and Magnetic Materialssymbols.namesakesymbolsProbability distributionStatistical physicsCondensed Matter - Statistical Mechanics
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Cluster kernels for semisupervised classification of VHR urban images

2009

In this paper, we present and apply a semisupervised support vector machine based on cluster kernels for the problem of very high resolution image classification. In the proposed setting, a base kernel working with labeled samples only is deformed by a likelihood kernel encoding similarities between unlabeled examples. The resulting kernel is used to train a standard support vector machine (SVM) classifier. Experiments carried out on very high resolution (VHR) multispectral and hyperspectral images using very few labeled examples show the relevancy of the method in the context of urban image classification. Its simplicity and the small number of parameters involved make it versatile and wor…

PixelContextual image classificationbusiness.industryMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingProbability density functionPattern recognitionSupport vector machineComputingMethodologies_PATTERNRECOGNITIONComputer Science::Computer Vision and Pattern RecognitionRadial basis function kernelArtificial intelligencebusinessClassifier (UML)Mathematics2009 Joint Urban Remote Sensing Event
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Ship Roll Motion under Stochastic Agencies Using Path Integral Method

2009

The response of ship roll oscillation under random ice impulsive loads modeled by Poisson arrival process is very important in studying the safety of ships navigation in cold regions. Under both external and parametric random excitations the evolution of the probability density function of roll motion is evaluated using the path integral (PI) approach. The PI method relies on the Chapman-Kolmogorov equation, which governs the response transition probability density functions at two close intervals of time. Once the response probability density function at an early close time is specified, its value at later close time can be evaluated. The PI method is first demonstrated via simple dynamica…

Poisson arrival proceRoll oscillationOscillationDynamics (mechanics)Motion (geometry)Probability density functionPath integral methodWhite noiseWhite noise excitationResponse amplitude operatorRandom excitationControl theoryShip roll motionTransition probabilitiePath integral formulationChapman-Kolmogorov equationMathematicsParametric statistics
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Path integral solution for nonlinear systems under parametric Poissonian white noise input

2016

Abstract In this paper the problem of the response evaluation in terms of probability density function of nonlinear systems under parametric Poisson white noise is addressed. Specifically, extension of the Path Integral method to this kind of systems is introduced. Such systems exhibit a jump at each impulse occurrence, whose value is obtained in closed form considering two general classes of nonlinear multiplicative functions. Relying on the obtained closed form relation liking the impulses amplitude distribution and the corresponding jump response of the system, the Path Integral method is extended to deal with systems driven by parametric Poissonian white noise. Several numerical applica…

Poisson white noiseMonte Carlo methodAerospace EngineeringOcean EngineeringProbability density function02 engineering and technologyImpulse (physics)01 natural sciencesPath integral solution0203 mechanical engineering0103 physical sciencesApplied mathematics010301 acousticsCivil and Structural EngineeringMathematicsParametric statisticsMechanical EngineeringMathematical analysisStatistical and Nonlinear PhysicsWhite noiseCondensed Matter PhysicsJump responseNonlinear system020303 mechanical engineering & transportsParametric inputNuclear Energy and EngineeringPath integral formulationNonlinear system
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