Search results for "Oise"

showing 10 items of 1967 documents

Ambit processes and stochastic partial differential equations

2011

Ambit processes are general stochastic processes based on stochastic integrals with respect to Levy bases. Due to their flexible structure, they have great potential for providing realistic models for various applications such as in turbulence and finance. This papers studies the connection between ambit processes and solutions to stochastic partial differential equations. We investigate this relationship from two angles: from the Walsh theory of martingale measures and from the viewpoint of the Levy noise analysis.

Continuous-time stochastic processwhite noise analysisambit processesstochastic partial differential equationsStochastic modellingMathematical analysisStochastic calculusMalliavin calculusStochastic partial differential equationStochastic differential equationmartingale measuresMathematics::ProbabilityLocal martingaleLévy basesApplied mathematicsMartingale (probability theory)Mathematics
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Automatic Processing Scheme for Low Laser Invasiveness Electro Optical Frequency Mapping mode

2016

International audience; Electro optical techniques are efficient backside contactless techniques usually used for design debug and defect location in modern VLSI. Unfortunately, the signal to noise ratio is quite low and depends on laser power with potential device stress due to long acquisition time or high laser power, especially in up to date technologies. Under these conditions, to maintain a good signal or image quality, specific signal or image processing techniques can be implemented. In this paper, we proposed a new spatial filtering by stationary wavelets and contrast enhancement which allows the use of low laser power and short acquisition time in image mode.

Contrast enhancementImage qualityComputer science[SPI] Engineering Sciences [physics]Wavelet shrinkageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEOFMImage processing02 engineering and technology01 natural sciencesSignallaw.invention[SPI]Engineering Sciences [physics]Image modeSignal-to-noise ratiolaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineering[ SPI ] Engineering Sciences [physics]EOPLaser power scalingStationary Wavelet Transform010302 applied physicsSpatial filter020208 electrical & electronic engineeringLaser[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFiltering
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Convergence of Markovian Stochastic Approximation with discontinuous dynamics

2016

This paper is devoted to the convergence analysis of stochastic approximation algorithms of the form $\theta_{n+1} = \theta_n + \gamma_{n+1} H_{\theta_n}({X_{n+1}})$, where ${\left\{ {\theta}_n, n \in {\mathbb{N}} \right\}}$ is an ${\mathbb{R}}^d$-valued sequence, ${\left\{ {\gamma}_n, n \in {\mathbb{N}} \right\}}$ is a deterministic stepsize sequence, and ${\left\{ {X}_n, n \in {\mathbb{N}} \right\}}$ is a controlled Markov chain. We study the convergence under weak assumptions on smoothness-in-$\theta$ of the function $\theta \mapsto H_{\theta}({x})$. It is usually assumed that this function is continuous for any $x$; in this work, we relax this condition. Our results are illustrated by c…

Control and OptimizationStochastic approximationMarkov processMathematics - Statistics Theorydiscontinuous dynamicsStatistics Theory (math.ST)Stochastic approximation01 natural sciencesCombinatorics010104 statistics & probabilitysymbols.namesake[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]Convergence (routing)FOS: Mathematics0101 mathematics62L20state-dependent noiseComputingMilieux_MISCELLANEOUSMathematicsta112SequenceconvergenceApplied Mathematicsta111010102 general mathematicsFunction (mathematics)[STAT.TH]Statistics [stat]/Statistics Theory [stat.TH]16. Peace & justice[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationcontrolled Markov chainMarkovian stochastic approximationsymbolsStochastic approximat
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Noise influence on correlated activities in a modular neuronal network: From synapses to functional connectivity

2008

In this work we propose taking noise into account when modeling the neuronal activity in a correlation-based type network. Volume transmission effects on connectivity are considered. As a result, an individual module can be set in an "activated" state via noise produced by the remaining modules. The stochastic approach could provide a new insight into the relation between functional and anatomical connectivity.

Correlated activityFunctional connectivityNeuronal activitiesNeuronal networksNoise influenceStochastic approach
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Beam deconvolution in noisy CMB maps

2003

The subject of this paper is beam deconvolution in small angular scale CMB experiments. The beam effect is reversed using the Jacobi iterative method, which was designed to solved systems of algebraic linear equations. The beam is a non circular one which moves according to the observational strategy. A certain realistic level of Gaussian instrumental noise is assumed. The method applies to small scale CMB experiments in general (cases A and B), but we have put particular attention on Planck mission at 100 GHz (cases C and D). In cases B and D, where noise is present, deconvolution allows to correct the main beam distortion effect and recover the initial angular power spectrum up to the end…

Cosmic microwave backgroundData analysisJacobi methodFOS: Physical sciencesAstrophysicsAstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICACosmic microwave backgroundsymbols.namesakeDistortionPlanckPhysicsNumericalAstrophysics (astro-ph)Spectral densityAstronomy and Astrophysics:ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogonia [UNESCO]Computational physicsNoiseSpace and Planetary SciencesymbolsCosmic microwave background ; Numerical ; Data analysisDeconvolutionUNESCO::ASTRONOMÍA Y ASTROFÍSICA::Cosmología y cosmogoniaBeam (structure):ASTRONOMÍA Y ASTROFÍSICA [UNESCO]
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Pattern formation and spatial correlation induced by the noise in two competing species

2004

We analyze the spatio-temporal patterns of two competing species in the presence of two white noise sources: an additive noise acting on the interaction parameter and a multiplicative noise which affects directly the dynamics of the species densities. We use a coupled map lattice (CML) with uniform initial conditions. We find a nonmonotonic behavior both of the pattern formation and the density correlation as a function of the multiplicative noise intensity.

Coupled Map LatticeSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStatistical Mechanics (cond-mat.stat-mech)Noise-induced pattern formationMultiplicative noiseFOS: Physical sciencesCoupled Map Lattice; Multiplicative noise; Noise-induced pattern formation; Competing speciesCompeting speciesCondensed Matter - Statistical Mechanics
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Nonmonotonic behavior of spatiotemporal pattern formation in a noisy Lotka-Volterra system

2004

The noise-induced pattern formation in a population dynamical model of three interacting species in the coexistence regime is investigated. A coupled map lattice of Lotka-Volterra equations in the presence of multiplicative noise is used to analyze the spatiotemporal evolution. The spatial correlation of the species concentration as a function of time and of the noise intensity is investigated. A nonmonotonic behavior of the area of the patterns as a function of both noise intensity and evolution time is found.

Coupled Map LatticeSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStatistical Mechanics (cond-mat.stat-mech)Noise-induced pattern formationMultiplicative noiseQuantitative Biology::Populations and EvolutionFOS: Physical sciencesInteracting speciesCoupled Map Lattice; Multiplicative noise; Noise-induced pattern formation; Interacting speciesCondensed Matter - Statistical Mechanics
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Effective hamiltonian approach to the non-Markovian dynamics in a spin-bath

2010

We investigate the dynamics of a central spin that is coupled to a bath of spins through a non-uniform distribution of coupling constants. Simple analytical arguments based on master equation techniques as well as numerical simulations of the full von Neumann equation of the total system show that the short-time damping and decoherence behaviour of the central spin can be modelled accurately through an effective Hamiltonian involving a single effective coupling constant. The reduced short-time dynamics of the central spin is thus reproduced by an analytically solvable effective Hamiltonian model.

Coupling constantPhysicsQuantum decoherenceSpinsHamiltonian modelMarkov processCondensed Matter PhysicsAtomic and Molecular Physics and Opticssymbols.namesakeClassical mechanicsQuantum mechanicsMaster equationsymbolsHamiltonian (quantum mechanics)opens systems effective hamiltonians quantum noise non-markovian dynamicsMathematical PhysicsVon Neumann architecture
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Quantum Non-Markovian Collision Models from Colored-Noise Baths

2019

A quantum collision model (CM), also known as repeated interactions model, can be built from the standard microscopic framework where a system S is coupled to a white-noise bosonic bath under the rotating wave approximation, which typically results in Markovian dynamics. Here, we discuss how to generalize the CM construction to the case of frequency-dependent system–bath coupling, which defines a class of colored-noise baths. This leads to an intrinsically non-Markovian CM, where each ancilla (bath subunit) collides repeatedly with S at different steps. We discuss the illustrative example of an atom in front of a mirror in the regime of non-negligible retardation times.

CouplingPhysicssymbols.namesakeClassical mechanicsColors of noiseAtomsymbolsRotating wave approximationMarkov processCollision modelCollisionQuantum
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Computational investigation and experimental considerations for the classical implementation of a full adder on SO2 by optical pump-probe schemes

2008

International audience; Following the scheme recently proposed by Remacle and Levine Phys. Rev. A 73, 033820 2006 , we investigate the concrete implementation of a classical full adder on two electronic states X˜ 1A1 and C ˜ 1B2 of the SO2 molecule by optical pump-probe laser pulses using intuitive and counterintuitive stimulated Raman adiabatic passage excitation schemes. The resources needed for providing the inputs and reading out are discussed, as well as the conditions for achieving robustness in both the intuitive and counterintuitive pump-dump sequences. The fidelity of the scheme is analyzed with respect to experimental noise and two kinds of perturbations: The coupling to the neigh…

Coupling[PHYS.PHYS.PHYS-OPTICS] Physics [physics]/Physics [physics]/Optics [physics.optics][PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Adder[ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]010304 chemical physicsChemistryStimulated Raman adiabatic passageGeneral Physics and AstronomyRotational–vibrational spectroscopyTopology01 natural sciencesNoise (electronics)Optical pumpingRobustness (computer science)Quantum mechanics0103 physical sciencesPerturbation theory (quantum mechanics)Physical and Theoretical Chemistry010306 general physics
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