Search results for "analysis"

showing 10 items of 26772 documents

Synthesis, Characterization of FexZr1-xO2Solid Solution Nanoparticles and Bulk Powders Prepared Using a Sol-Gel Technique

2015

symbols.namesakeMaterials scienceChemical engineeringTransmission electron microscopyPolymer characterizationScanning electron microscopeDifferential thermal analysisAnalytical chemistrysymbolsNanoparticleRaman spectroscopyCharacterization (materials science)Sol-gel
researchProduct

Rectifiability and singular integrals

1995

symbols.namesakeMathematical analysisPrincipal valueEuclidean geometrysymbolsMaximal functionPoint (geometry)GeometryHardy–Littlewood maximal functionHilbert transformSingular integralMeasure (mathematics)Mathematics
researchProduct

Representation of Stationary Multivariate Gaussian Processes Fractional Differential Approach

2011

In this paper, the fractional spectral moments method (H-FSM) is used to generate stationary Gaussian multivariate processes with assigned power spectral density matrix. To this aim, firstly the N-variate process is expressed as sum of N fully coherent normal random vectors, and then, the representation in terms of HFSM is used.

symbols.namesakeMathematical analysissymbolsRepresentation (systemics)Applied mathematicsMultivariate normal distributionMultivariate Processes Fractional Calculus Fractional Spectral MomentsFractional differentialSettore ICAR/08 - Scienza Delle CostruzioniGaussian processMathematicsProceedings of the 6th International Conference on Computational Stochastic Mechanics(CSM-6)
researchProduct

An Improved Method for Estimating the Time ACF of a Sum of Complex Plane Waves

2010

Time averaging is a well-known technique for evaluating the temporal autocorrelation function (ACF) from a sample function of a stochastic process. For stochastic processes that can be modelled as a sum of plane waves, it is shown that the ACF obtained by time averaging can be expressed as a sum of auto-terms (ATs) and cross-terms (CTs). The ATs result from the autocorrelation of the individual plane waves, while the CTs are due to the cross-correlation between different plane wave components. The CTs cause an estimation error of the ACF. This estimation error increases as the observation time decreases. For the practically important case that the observation time interval is limited, we pr…

symbols.namesakeMathematical optimizationFourier transformStochastic processKernel (statistics)AutocorrelationMathematical analysisPlane wavesymbolsInterval (mathematics)Frequency modulationComplex planeMathematics2010 IEEE Global Telecommunications Conference GLOBECOM 2010
researchProduct

Weak Maximum Principle and Application to Swimming at Low Reynolds Number

2018

We refer to [9, 42, 46] for more details about the general concepts and notations introduced in this section.

symbols.namesakeMaximum principleSection (archaeology)Mathematical analysissymbolsReynolds numberMathematics
researchProduct

Semi-discrete Galerkin approximation method applied to initial boundary value problems for Maxwell's equations in anisotropic, inhomogeneous media

1981

SynopsisIn this paper the semi-discrete Galerkin approximation of initial boundary value problems for Maxwell's equations is analysed. For the electric field a hyperbolic system of equations is first derived. The standard Galerkin method is applied to this system and a priori error estimates are established for the approximation.

symbols.namesakeMaxwell's equationsGeneral MathematicsElectric fieldMathematical analysissymbolsA priori and a posterioriBoundary value problemAnisotropyGalerkin methodHyperbolic systemsMathematicsProceedings of the Royal Society of Edinburgh: Section A Mathematics
researchProduct

Modelling Systemic Cojumps with Hawkes Factor Models

2013

Instabilities in the price dynamics of a large number of financial assets are a clear sign of systemic events. By investigating a set of 20 high cap stocks traded at the Italian Stock Exchange, we find that there is a large number of high frequency cojumps. We show that the dynamics of these jumps is described neither by a multivariate Poisson nor by a multivariate Hawkes model. We introduce a Hawkes one factor model which is able to capture simultaneously the time clustering of jumps and the high synchronization of jumps across assets.

symbols.namesakeMultivariate statisticsStock exchangeEconometricssymbolsEconomicsPoisson distributionSynchronizationTime clusteringFactor analysisSign (mathematics)SSRN Electronic Journal
researchProduct

Non Linear Systems Under Complex α-Stable Le´vy White Noise

2003

The problem of predicting the response of linear and nonlinear systems under Levy white noises is examined. A method of analysis is proposed based on the observation that these processes have impulsive character, so that the methods already used for Poisson white noise or normal white noise may be also recast for Levy white noises. Since both the input and output processes have no moments of order two and higher, the response is here evaluated in terms of characteristic function.Copyright © 2003 by ASME

symbols.namesakeNonlinear systemAdditive white Gaussian noiseControl theoryStochastic resonanceGaussian noiseMathematical analysissymbolsBrownian noiseImpulsive characterWhite noisePsychologyPoisson distributionApplied Mechanics and Biomedical Technology
researchProduct

Modal analysis for random response of MDOF systems

1990

The usefulness of the mode-superposition method of multidegrees of freedom systems excited by stochastic vector processes is here presented. The differential equations of moments of every order are written in compact form by means of the Kronecker algebra; then the method for integration of these equations is presented for both classically and non-classically damped systems, showing that the fundamental operator available for evaluating the response in the deterministic analysis is also useful for evaluating the response in the stochastic analysis.

symbols.namesakeOperator (computer programming)Computer scienceDifferential equationStochastic processModal analysisKronecker deltaRandom responsesymbolsOrder (ring theory)Applied mathematicsProbability vector
researchProduct

Itô-Stratonovitch Formula for the Wave Equation on a Torus

2010

We give an Ito-Stratonovitch formula for the wave equation on a torus, where we have no stochastic process associated to this partial differential equation. This gives a generalization of the classical Ito-Stratonovitch equation for diffusion in semi-group theory established by ourself in [18], [20].

symbols.namesakePartial differential equationDiffusion equationMathematics::ProbabilityDifferential equationMathematical analysisFirst-order partial differential equationsymbolsFokker–Planck equationFisher's equationWave equationd'Alembert's formulaMathematics
researchProduct