Search results for "Stationary process"

showing 6 items of 16 documents

Pruning Incremental Linear Model Trees with Approximate Lookahead

2014

Incremental linear model trees with approximate lookahead are fast, but produce overly large trees. This is due to non-optimal splitting decisions boosted by a possibly unlimited number of examples obtained from a data source. To keep the processing speed high and the tree complexity low, appropriate incremental pruning techniques are needed. In this paper, we introduce a pruning technique for the class of incremental linear model trees with approximate lookahead on stationary data sources. Experimental results show that the advantage of approximate lookahead in terms of processing speed can be further improved by producing much smaller and consequently more explanatory, less memory consumi…

Stationary processComputational Theory and MathematicsComputer scienceLinear modelPruning (decision trees)AlgorithmTree (graph theory)Computer Science ApplicationsInformation SystemsData modelingIEEE Transactions on Knowledge and Data Engineering
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Modelling and Simulation of Ego-Noise of Unmanned Aerial Vehicles

2020

In this paper, we develop a simulation model for the ego-noise of unmanned aerial vehicles (UAVs). The ego-noise is composed of spike noise and background noise. The spike noise is modelled by a finite sum of sinusoids, while the background noise is modelled by a coloured Gaussian stationary process. The main property of our model is that it only depends on physical characteristics of the UAV and it does not need real-time audio inputs to be developed. This model is very useful for training novel noise cancelling algorithms and for evaluating their performance. To validate the proposed model, we compare the statistical properties of the ego-noise simulated using our model with actual ego-no…

Stationary processProperty (programming)Computer scienceGaussian010401 analytical chemistry020206 networking & telecommunications02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science::RoboticsBackground noisesymbols.namesakeNoiseControl theory0202 electrical engineering electronic engineering information engineeringsymbolsSpike (software development)Active noise control2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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Non-Gaussian probability density function of SDOF linear structures under wind actions

1998

Abstract Wind velocity is usually analytically described adding a static mean term to a zero mean fluctuation stationary process. The corresponding aerodynamic alongwind force acting on a single degree of freedom (SDOF) structure can be considered as a sum of three terms proportional to the mean wind velocity, to the product between mean and fluctuating part of the wind velocity and to the square power of the fluctuating wind velocity, respectively. The latter term, often neglected in the literature, is responsible for the non-Gaussian behaviour of the response. In this paper a method for the evaluation of the stationary probability density function of SDOF structures subjected to non-Gauss…

Stationary processStationary distributionSeries (mathematics)Renewable Energy Sustainability and the EnvironmentMechanical EngineeringGaussianMathematical analysisProbability density functionWind speedAerodynamic forcesymbols.namesakesymbolsSeries expansionCivil and Structural EngineeringMathematicsAlongwind response; Probability density function; Non-Gaussian stochastic analysis
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Spectral Moments and Pre-Envelope Covariances of Nonseparable Processes

1990

A critical review of the definition of the spectral moments of a stochastic process in the nonstationary case is presented. An adequate time-domain representation of the spectral moments in the stationary case is first established, showing that the spectral moments are related to the variances of the stationary analytical pre-envelope processes. The extension to the nonstationary case is made in the time domain evaluating the covariances of the nonstationary pre-envelope showing the differences between the proposed definition and the classical one made introducing the evolutionary power.

Stationary processStochastic processMechanical EngineeringCovarianceCondensed Matter PhysicsPower (physics)Mechanical systemMechanics of MaterialsCalculusTime domainStatistical physicsRepresentation (mathematics)Envelope (mathematics)MathematicsJournal of Applied Mechanics
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The influence of noise on electron dynamics in semiconductors driven by a periodic electric field

2009

Studies about the constructive aspects of noise and fluctuations in different non-linear systems have shown that the addition of external noise to systems with an intrinsic noise may result in a less noisy response. Recently, the possibility to reduce the diffusion noise in semiconductor bulk materials by adding a random fluctuating contribution to the driving static electric field has been tested. The present work extends the previous theories by considering the noise-induced effects on the electron transport dynamics in low-doped n-type GaAs samples driven by a high-frequency periodic electric field (cyclostationary conditions). By means of Monte Carlo simulations, we calculate the change…

Statistics and ProbabilityNoise powerMaterials scienceField (physics)Cyclostationary processElectric fieldMonte Carlo methodSpectral densityStatistical and Nonlinear PhysicsElectronStatistics Probability and UncertaintyNoise (electronics)Computational physicsJournal of Statistical Mechanics: Theory and Experiment
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Missing Observations and Evolutionary Spectrum for Random Fields

2012

International audience

[ MATH ] Mathematics [math][PHYS]Physics [physics][ PHYS ] Physics [physics][ STAT ] Statistics [stat]Evolutionary spactral[SPI] Engineering Sciences [physics]Missing data analysis[MATH] Mathematics [math][STAT] Statistics [stat][PHYS] Physics [physics][STAT]Statistics [stat][SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics][MATH]Mathematics [math]Nonstationary processesComputingMilieux_MISCELLANEOUS
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