Search results for "Noise model"

showing 5 items of 5 documents

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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Signal-to-noise ratio in reproducing kernel Hilbert spaces

2018

This paper introduces the kernel signal-to-noise ratio (kSNR) for different machine learning and signal processing applications}. The kSNR seeks to maximize the signal variance while minimizing the estimated noise variance explicitly in a reproducing kernel Hilbert space (rkHs). The kSNR gives rise to considering complex signal-to-noise relations beyond additive noise models, and can be seen as a useful signal-to-noise regularizer for feature extraction and dimensionality reduction. We show that the kSNR generalizes kernel PCA (and other spectral dimensionality reduction methods), least squares SVM, and kernel ridge regression to deal with cases where signal and noise cannot be assumed inde…

Noise model02 engineering and technologySNR010501 environmental sciences01 natural sciencesKernel principal component analysisSenyal Teoria del (Telecomunicació)Signal-to-noise ratioArtificial Intelligence0202 electrical engineering electronic engineering information engineeringHeteroscedastic0105 earth and related environmental sciencesMathematicsNoise (signal processing)Dimensionality reductionKernel methodsSignal classificationSupport vector machineKernel methodKernel (statistics)Anàlisi funcionalSignal ProcessingFeature extraction020201 artificial intelligence & image processingSignal-to-noise ratioComputer Vision and Pattern RecognitionAlgorithmSoftwareImatges ProcessamentReproducing kernel Hilbert spaceCausal inference
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Influence Of The Model Parameters On The Noise Performance Of Double-polysilicon BJTs For Microwave LNA's

1997

In the recent post we have measured the noise and the scattering parameters of several series of double polysilicon BJT's over the 2-6 GHz frequency range at different collector current values, according to their emitter finger number. From the experimental data, a noisy circuit model has been extracted based on a T-equivalent network. By means of the correlation matrix techniques, novel analytical expressions of the noise parameters have been derived. As a second step, a sensitivity analysis has been performed for evaluating the influence of each model element on the noise performance. The results show how to improve the characteristics of such devices for a better performance when employe…

Noise temperatureEngineeringNoise measurementbusiness.industryDouble polysilicon bipolar junction transistors Low noise amplifiers (LNA) noise modelsY-factorLow noise amplifiers (LNA)Noise figureNoise (electronics)noise modelsDouble polysilicon bipolar junction transistorsNoise generatorPhase noiseElectronic engineeringFlicker noisebusiness27th European Microwave Conference and Exhibition
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Linking traffic and noise models to explore spatio-temporal distribution of noise pollution: an example in Besançon (France)

2012

International audience; Road transportation is one of the major environmental noise sources in urban areas, which is characterized by an important temporal and spatial variation. Therefore, linking mobility and traffic model with noise model each representing spatial and temporal dimensions is a great interest. An integrated and original approach was developed to explore noise pollution in urban areas with a spatiotemporal and prospective point of view. An agent-based Land-Use and Transport Integrated (LUTI) model - MobiSim- was used to assess traffic modulation by simulating hourly flows and mobility. Individual choices of agents (representing the city's inhabitants) were transformed to fl…

[SDE] Environmental Sciencestrafic noisedaily mobility[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologienoise exposure assessment[ SHS.ENVIR ] Humanities and Social Sciences/Environmental studiesagent-based model[ SDE ] Environmental SciencesLand-Use and Transport Integrated interaction (LUTI ) model[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SHS.ENVIR] Humanities and Social Sciences/Environmental studies[SHS.ENVIR]Humanities and Social Sciences/Environmental studies[SDE]Environmental Sciencesnoise modelling[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
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Analysis of parametric uncertainty in a shot noise model

2005

All model calibrations are subject to uncertainty. Even when an optimization procedure is used, the specific calibration period strongly influences the parameter values and causes uncertainty in streamflow prediction. The present paper aims to study the influence that the dimension and the position of the sampling period have on the uncertainty of the response of a daily conceptual shot noise model. The simulations have been conducted using continuous daily series of discharges recorded for 76 years on the river basin of Oreto (Palermo, Italy). Many continuous sub-series for simulations have been obtained from the historical series available. In the first place many model calibrations have …

shot noise model uncertainty.
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