Search results for " NOISE"

showing 10 items of 659 documents

Laser Vibrometer Interferometry for Speckle Patterns Tracking Systems

2017

In this paper we propose a modulated laser system combining a speckle pattern tracking method for surface tilting changes sensing with an interferometer for surface z-axis changes sensing at the same scan time.

Materials sciencebusiness.industryAstrophysics::Instrumentation and Methods for AstrophysicsSpeckle noiseTracking system02 engineering and technology021001 nanoscience & nanotechnologyLaser01 natural scienceslaw.invention010309 opticsInterferometrySpeckle patternOpticslawElectronic speckle pattern interferometry0103 physical sciencesSpeckle imaging0210 nano-technologybusinessLaser Doppler vibrometerConference on Lasers and Electro-Optics
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DC and 1/f noise characterization of cryogenically cooled pseudomorphic HEMT's

2002

Pseudomorphic (AlGaAs/InGaAs/GaAs) HEMT's have exhibited the best noise performance over the entire LF-to-microwave frequency range if compared to MESFET's and conventional GaAs HEMT's, due to either a reduced flicker noise, a lower G/R contribution and a smaller high-field diffusion noise. We have recently investigated the microwave (up to 18 GHz) noise properties of packaged pseudomorphic HEMT's from 290 K down to cryogenic temperature values. The current experimental work is aimed at extending such analysis to the LF noise range and at low temperatures. Cryogenic noise spectra (1 Hz to 100 KHz) and DC characteristics have therefore been recorded and the relevant observations on the devic…

Materials sciencebusiness.industryNoise reductionAstrophysics::Instrumentation and Methods for AstrophysicsGeneral Physics and AstronomyHigh-electron-mobility transistorNoise figureGallium arsenideCondensed Matter::Materials Sciencechemistry.chemical_compoundGeneration–recombination noisechemistryOptoelectronicsFlicker noiseMESFETbusinessNoise (radio)
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Gamma-ray irradiation tests of CMOS sensors used in imaging techniques

2014

Technologically-enhanced electronic image sensors are used in various fields as diagnostic techniques in medicine or space applications. In the latter case the devices can be exposed to intense radiation fluxes over time which may impair the functioning of the same equipment. In this paper we report the results of gamma-ray irradiation tests on CMOS image sensors simulating the space radiation over a long time period. Gamma-ray irradiation tests were car ried out by means of IGS-3 gamma irradiation facility of Palermo Uni ver sity, based on 60Co sources with dif fer ent ac tiv i ties. To re duce the dose rate and re al ize a nar row gamma-ray beam, a lead-collimation sys tem was pur posely …

Materials scienceimaging technique CMOS image sensor gamma irradiationPixelSettore ING-IND/20 - Misure E Strumentazione Nuclearibusiness.industryImage qualityRadiationimaging techniqueSettore ING-INF/01 - Elettronicagamma irradiationBackground noiseNuclear Energy and EngineeringCMOSCMOS image sensorAbsorbed doseOptoelectronicslcsh:QC770-798lcsh:Nuclear and particle physics. Atomic energy. RadioactivityIrradiationImage sensorSafety Risk Reliability and QualitybusinessNuclear Technology and Radiation Protection
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TEMPERATURE DEPENDENT NOISY MODELS OF PSEUDOMORPHIC HEMTs

1994

From a complete characterization in terms of noise and scattering parameters carried out at room temperature in the 8–16 GHz frequency range, the noisy small‐signal model of a pseudomotphic HEMT series has been extracted. The transistor scattering parameters have been subsequently measured at lower temperatures (down to −50 °C) by placing the device text fixture in a thermo‐controlled chamber. The model effectiveness has then been tested by determining the circuit element values at the different temperatures and by observing the model noise performance.

Materials sciencemicrowaveSeries (mathematics)business.industryApplied MathematicsTransistorHigh-electron-mobility transistorFixtureNoise (electronics)noise modelsComputer Science Applicationslaw.inventiontemperature-dependentComputational Theory and MathematicsHEMT; noise models; microwave; temperature-dependentlawRange (statistics)Scattering parametersElectronic engineeringOptoelectronicsElectrical and Electronic EngineeringbusinessHEMTCOMPEL - The international journal for computation and mathematics in electrical and electronic engineering
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A new dynamic identification technique: application to the evaluation of the equivalent strut for infilled frames

2003

A new time domain identification technique for systems under Gaussian white noise input is presented, requiring for its application the measurement of the system response but no information about input intensity. The technique proposed is based on the statistic moment equations derived by using a special class of mathematical models named "potential models". These models allow one to determine fundamental properties of the response statistics, making it possible to identify stiffness and dissipation features of a structural system, and also to determine the excitation input. The technique proposed is here applied to the identification of the strut equivalent to the infill of a single story-…

Mathematical modelStructural systemFrame (networking)System identificationStiffnessWhite noiseItô differential calculuSettore ICAR/09 - Tecnica Delle Costruzionisymbols.namesakePin-jointed equivalent strutGaussian noisesymbolsmedicineTime domainmedicine.symptomInfilled frameAlgorithmPotential modelStructural identificationCivil and Structural EngineeringMathematicsEngineering Structures
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Non-linear systems under parametric white noise input: digital simulation and response

2005

Abstract Monte Carlo technique is constituted of three steps. Therefore, improving such technique in practice means, improving the procedure used in one of the three following steps: (i) sample paths of the stochastic input process, (ii) calculation of the outputs corresponding to the generated input samples by using methods of classical dynamics and (iii) estimating statistics of the output process from sample outputs related to the previous step. For linear and non-linear systems driven by parametric impulsive inputs such as normal or non-normal white noises, a general integration method requires a considerable reduction of the integration step when the impulse occurs, treating the impuls…

Mathematical optimizationApplied MathematicsMechanical EngineeringMonte Carlo methodα-stable white noiseParametric impulseWhite noiseImpulse (physics)Poissonian white noiseWindow functionα-stable white noise; Normal white noise; Parametric impulse; Poissonian white noiseNonlinear systemMechanics of MaterialsMonte Carlo integrationQuasi-Monte Carlo methodAlgorithmParametric statisticsMathematicsNormal white noise
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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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Non Gaussian closure techniques for the analysis of R-FBI isolation system

1997

The Resilient-Friction Base Isolator (R-FBI) stochastic response under severe ground motion modelled as a stationary and non-stationary zero mean stochastic white noise processes is performed. The moment equation approach is applied and the non-normal response is obtained by means of a non-Gaussian closure technique, based on the Gram-Charlier asymptotic expansion of the response probability density function. Results are compared with the equivalent non linearization technique and with results obtained by means of Monte Carlo simulation.

Mathematical optimizationGaussianMonte Carlo methodMathematical analysisGeneral EngineeringClosure (topology)Probability density functionWhite noiseMoment (mathematics)symbols.namesakeLinearizationsymbolsAsymptotic expansionMathematicsJournal of Structural Control
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First-passage problem for nonlinear systems under Lévy white noise through path integral method

2016

In this paper, the first-passage problem for nonlinear systems driven by $$\alpha $$ -stable Levy white noises is considered. The path integral solution (PIS) is adopted for determining the reliability function and first-passage time probability density function of nonlinear oscillators. Specifically, based on the properties of $$\alpha $$ -stable random variables and processes, PIS is extended to deal with Levy white noises with any value of the stability index $$\alpha $$ . Application to linear and nonlinear systems considering different values of $$\alpha $$ is reported. Comparisons with pertinent Monte Carlo simulation data demonstrate the accuracy of the results.

Mathematical optimizationPath integralMonte Carlo methodAerospace Engineering020101 civil engineeringOcean EngineeringProbability density function02 engineering and technologyLévy white noise0201 civil engineering0203 mechanical engineeringApplied mathematicsElectrical and Electronic EngineeringMathematicsFirst passageApplied MathematicsMechanical EngineeringWhite noiseFunction (mathematics)Nonlinear systemAlpha (programming language)020303 mechanical engineering & transportsControl and Systems EngineeringPath integral formulationNonlinear systemRandom variable
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Efficient solution of the first passage problem by Path Integration for normal and Poissonian white noise

2015

Abstract In this paper the first passage problem is examined for linear and nonlinear systems driven by Poissonian and normal white noise input. The problem is handled step-by-step accounting for the Markov properties of the response process and then by Chapman–Kolmogorov equation. The final formulation consists just of a sequence of matrix–vector multiplications giving the reliability density function at any time instant. Comparison with Monte Carlo simulation reveals the excellent accuracy of the proposed method.

Mathematical optimizationSequenceMarkov chainPoisson proceMechanical EngineeringReliability (computer networking)Monte Carlo methodAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseWhite noiseCondensed Matter PhysicsPath IntegrationNonlinear systemNuclear Energy and EngineeringStructural reliabilityApplied mathematicsFirst passage problemRandom vibrationSettore ICAR/08 - Scienza Delle CostruzioniRandom vibrationCivil and Structural EngineeringMathematicsProbabilistic Engineering Mechanics
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