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showing 10 items of 4526 documents

Noise estimation from digital step-model signal

2013

International audience; This paper addresses the noise estimation in the digital domain and proposes a noise estimator based on the step signal model. It is efficient for any distribution of noise because it does not rely only on the smallest amplitudes in the signal or image. The proposed approach uses polarized/directional derivatives and a nonlinear combination of these derivatives to estimate the noise distribution (e.g., Gaussian, Poisson, speckle, etc.). The moments of this measured distribution can be computed and are also calculated theoretically on the basis of noise distribution models. The 1D performances are detailed, and as our work is mostly dedicated to image processing, a 2D…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingstep model02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingCCD sensornoise distributionsymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingdigital signalsalt and pepper noiseStatistics0202 electrical engineering electronic engineering information engineeringMedian filterImage noisePoisson noiseValue noiseNoise estimationMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingedge modelmultiplicative noiseNoise measurementNoise (signal processing)020206 networking & telecommunicationsComputer Graphics and Computer-Aided DesignNoise floorGaussian white noiseGradient noiseimpulse noiseGaussian noisenonlinear modelsymbols020201 artificial intelligence & image processingnoise estimatorAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftware
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A comparative study of noise effects in a FitzHugh-Nagumo circuit

2014

International audience; This paper focuses on the behaviour of a nonlinear FitzHugh-Nagumo circuit in the stochastic case that is in presence of noise and without deterministic driving. When the circuit is tuned below the Andronov-Hopf bifurcation, classical coherence res- onance signature is revealed. We compare the stochastic response of the system when the noise acts on two different parameters of the system. It is experimentally shown that an enhancement of the systems response can be achieved when the noise is directly added into the nonlinearity.

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[SPI] Engineering Sciences [physics][INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI]Engineering Sciences [physics][NLIN.NLIN-CD] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ SPI ] Engineering Sciences [physics][ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Predictive Chaos Control for the 1D-map of Action Potential Duration

2016

International audience; In the present work, a nonlinear control method namely predictive controlis investigated. The proposed method allows stabilizing unstable period-1 rhythm.Using mathematical analysis and computer simulations, we show that this methodcan be used to control chaotic behavior or pathological rhythms. As example, theresults are illustrated in the case of the 1D-map action potential duration (APDi+1)which modelizes the cardiac action potential duration as the function of the previousone (APDi).

[ MATH ] Mathematics [math]Action Potential Duration (APD)chaos[ NLIN ] Nonlinear Sciences [physics][NLIN] Nonlinear Sciences [physics][MATH] Mathematics [math][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]normal rhythmirregular heart rhythmequilibrium pointpredictive control
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Global dynamical behaviors in a physical shallow water system

2016

International audience; The theory of bifurcations of dynamical systems is used to investigate the behavior of travelling wave solutions in an entire family of shallow water wave equations. This family is obtained by a perturbative asymptotic expansion for unidirectional shallow water waves. According to the parameters of the system, this family can lead to different sets of known equations such as Camassa-Holm, Korteweg-de Vries, Degasperis and Procesi and several other dispersive equations of the third order. Looking for possible travelling wave solutions, we show that different phase orbits in some regions of parametric planes are similar to those obtained with the model of the pressure …

[ MATH ] Mathematics [math]Dynamical systems theoryWave propagationCnoidal waveSolitary wave solutionBreaking wave solution01 natural sciencesDark solitons010305 fluids & plasmas0103 physical sciences[MATH]Mathematics [math]010306 general physicsCompaction solutionPhysics[PHYS]Physics [physics]Numerical AnalysisPeriodic wave solution[ PHYS ] Physics [physics]Phase portraitApplied MathematicsMathematical analysisBreaking wave[PHYS.MECA]Physics [physics]/Mechanics [physics]Wave equationCnoidal wavesNonlinear systemClassical mechanicsModeling and SimulationThird order dispersive equation[ PHYS.MECA ] Physics [physics]/Mechanics [physics]Phase portraitsLongitudinal wave
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Computational approach to compact Riemann surfaces

2017

International audience; A purely numerical approach to compact Riemann surfaces starting from plane algebraic curves is presented. The critical points of the algebraic curve are computed via a two-dimensional Newton iteration. The starting values for this iteration are obtained from the resultants with respect to both coordinates of the algebraic curve and a suitable pairing of their zeros. A set of generators of the fundamental group for the complement of these critical points in the complex plane is constructed from circles around these points and connecting lines obtained from a minimal spanning tree. The monodromies are computed by solving the defining equation of the algebraic curve on…

[ MATH ] Mathematics [math]Fundamental groupEquations[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]Holomorphic functionGeneral Physics and AstronomyFOS: Physical sciences010103 numerical & computational mathematics01 natural sciencessymbols.namesakeMathematics - Algebraic Geometrynumerical methodsFOS: MathematicsSpectral Methods0101 mathematics[MATH]Mathematics [math]Algebraic Geometry (math.AG)Mathematical PhysicsMathematicsCurvesKadomtsev-Petviashvili equationCollocationNonlinear Sciences - Exactly Solvable and Integrable SystemsPlane (geometry)Applied MathematicsRiemann surface010102 general mathematicsMathematical analysisStatistical and Nonlinear PhysicsMathematical Physics (math-ph)Methods of contour integrationHyperelliptic Theta-FunctionsRiemann surfacessymbolsDispersion Limit[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Algebraic curveExactly Solvable and Integrable Systems (nlin.SI)Complex plane
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Rotation Forms and Local Hamiltonian Monodromy

2017

International audience; The monodromy of torus bundles associated with completely integrable systems can be computed using geometric techniques (constructing homology cycles) or analytic arguments (computing discontinuities of abelian integrals). In this article, we give a general approach to the computation of monodromy that resembles the analytical one, reducing the problem to the computation of residues of polar 1-forms. We apply our technique to three celebrated examples of systems with monodromy (the champagne bottle, the spherical pendulum, the hydrogen atom) and to the case of non-degenerate focus-focus singularities, re-obtaining the classical results. An advantage of this approach …

[ MATH ] Mathematics [math]Pure mathematicsIntegrable systemFOCUS-FOCUS SINGULARITIESmath-phFOS: Physical sciencesDynamical Systems (math.DS)Homology (mathematics)01 natural sciencesSingularityMathematics::Algebraic Geometrymath.MPSYSTEMS0103 physical sciencesFOS: Mathematics0101 mathematicsAbelian groupMathematics - Dynamical Systems[MATH]Mathematics [math]010306 general physicsMathematics::Symplectic GeometryMathematical PhysicsMathematicsNEIGHBORHOODS[PHYS]Physics [physics][ PHYS ] Physics [physics]010102 general mathematicsSpherical pendulumStatistical and Nonlinear PhysicsTorusMathematical Physics (math-ph)37JxxMonodromyStatistical and Nonlinear Physics; Mathematical PhysicsGravitational singularityPOINTSmath.DS
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Spectral approach to D-bar problems

2017

We present the first numerical approach to D-bar problems having spectral convergence for real analytic, rapidly decreasing potentials. The proposed method starts from a formulation of the problem in terms of an integral equation that is numerically solved with Fourier techniques. The singular integrand is regularized analytically. The resulting integral equation is approximated via a discrete system that is solved with Krylov methods. As an example, the D-bar problem for the Davey-Stewartson II equations is considered. The result is used to test direct numerical solutions of the PDE.© 2017 Wiley Periodicals, Inc.

[ MATH ] Mathematics [math]Spectral approachInverse conductivity problemBar (music)General MathematicsElectrical-impedance tomographyFOS: Physical sciences2 dimensions010103 numerical & computational mathematics01 natural sciencesDiscrete systemsymbols.namesakeConvergence (routing)FOS: MathematicsApplied mathematicsUniquenessStewartson-ii equationsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]Electrical impedance tomographyReconstruction algorithmsNumerical-solutionMathematicsNonlinear Sciences - Exactly Solvable and Integrable SystemsApplied MathematicsNumerical Analysis (math.NA)Integral equation010101 applied mathematicsFourier transformsymbolsUniquenessExactly Solvable and Integrable Systems (nlin.SI)
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The tennis racket effect in a three-dimensional rigid body

2017

We propose a complete theoretical description of the tennis racket effect, which occurs in the free rotation of a three-dimensional rigid body. This effect is characterized by a flip ($\pi$- rotation) of the head of the racket when a full ($2\pi$) rotation around the unstable inertia axis is considered. We describe the asymptotics of the phenomenon and conclude about the robustness of this effect with respect to the values of the moments of inertia and the initial conditions of the dynamics. This shows the generality of this geometric property which can be found in a variety of rigid bodies. A simple analytical formula is derived to estimate the twisting effect in the general case. Differen…

[ MATH ] Mathematics [math]media_common.quotation_subject[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]Euler anglesFOS: Physical sciencesPhysics - Classical PhysicsInertiaRotation01 natural sciences010305 fluids & plasmassymbols.namesakeSimple (abstract algebra)0103 physical sciencesRacketClassical mechanics[MATH]Mathematics [math]010306 general physicsmedia_commonMathematicscomputer.programming_language[PHYS]Physics [physics][ PHYS ] Physics [physics]Dynamics (mechanics)Classical Physics (physics.class-ph)Statistical and Nonlinear PhysicsMoment of inertiaCondensed Matter PhysicsRigid bodyEuler anglesClassical mechanicsGeometric effectsymbols[ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]computerPhysica D: Nonlinear Phenomena
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Modélisation, Analyse et Traitement de l'Information

2016

Mes activités de recherche s’articulent, d’une part, autour de l’instrumentation et du génie biomédical,et, d’autre part, autour du traitement et de la transmission non linéaire de l’information. Elles sebasent sur la modélisation des signaux à partir de modèles non linéaires (principalement modèles deréaction-diffusion. . . ) continus (EDP) et discrets (numériques). Dans cette partie, d’un point de vuefondamental, des phénomènes dynamiques complexes ou chaotiques sont caractérisés à travers l’analyse,la classification, la reconnaissance des motifs dans des signaux physiologiques ou issus des circuitsélectroniques. Un autre axe sur lequel je travaille concerne l’analyse et le traitement des…

[ NLIN ] Nonlinear Sciences [physics]Reconnaissance de motifsSystèmes électroniquesDynamique non linéaire[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingAnalyse Multirésolution[SPI.TRON] Engineering Sciences [physics]/ElectronicsModelling[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsclassificationModélisationFiltrageNonlinear dynamics[NLIN] Nonlinear Sciences [physics][NLIN]Nonlinear Sciences [physics]ElectronicsFilteringPattern matchingInstrumentation[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingGénie biomédical
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Fractal Weyl law for open quantum chaotic maps

2014

We study the semiclassical quantization of Poincar\'e maps arising in scattering problems with fractal hyperbolic trapped sets. The main application is the proof of a fractal Weyl upper bound for the number of resonances/scattering poles in small domains near the real axis. This result encompasses the case of several convex (hard) obstacles satisfying a no-eclipse condition.

[ NLIN.NLIN-CD ] Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]FOS: Physical sciencesSemiclassical physicsDynamical Systems (math.DS)35B34 37D20 81Q50 81U05Upper and lower boundsMSC: 35B34 37D20 81Q50 81U05Fractal Weyl lawQuantization (physics)Mathematics - Analysis of PDEs[ MATH.MATH-AP ] Mathematics [math]/Analysis of PDEs [math.AP]Mathematics (miscellaneous)Fractal[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]FOS: Mathematics[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]Mathematics - Dynamical SystemsQuantumMathematical physicsMathematicsScattering[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Nonlinear Sciences - Chaotic DynamicsWeyl lawResonancesQuantum chaotic scattering[NLIN.NLIN-CD]Nonlinear Sciences [physics]/Chaotic Dynamics [nlin.CD][ PHYS.MPHY ] Physics [physics]/Mathematical Physics [math-ph]Chaotic Dynamics (nlin.CD)Statistics Probability and UncertaintyOpen quantum mapComplex planeAnalysis of PDEs (math.AP)Annals of Mathematics
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