Search results for "Mixing"

showing 10 items of 795 documents

On the use of approximate Bayesian computation Markov chain Monte Carlo with inflated tolerance and post-correction

2020

Approximate Bayesian computation allows for inference of complicated probabilistic models with intractable likelihoods using model simulations. The Markov chain Monte Carlo implementation of approximate Bayesian computation is often sensitive to the tolerance parameter: low tolerance leads to poor mixing and large tolerance entails excess bias. We consider an approach using a relatively large tolerance for the Markov chain Monte Carlo sampler to ensure its sufficient mixing, and post-processing the output leading to estimators for a range of finer tolerances. We introduce an approximate confidence interval for the related post-corrected estimators, and propose an adaptive approximate Bayesi…

FOS: Computer and information sciences0301 basic medicineStatistics and Probabilitytolerance choiceGeneral MathematicsMarkovin ketjutInference01 natural sciencesStatistics - Computationapproximate Bayesian computation010104 statistics & probability03 medical and health sciencessymbols.namesakeMixing (mathematics)adaptive algorithmalgoritmit0101 mathematicsComputation (stat.CO)MathematicsAdaptive algorithmMarkov chainbayesilainen menetelmäApplied MathematicsProbabilistic logicEstimatorMarkov chain Monte CarloAgricultural and Biological Sciences (miscellaneous)Markov chain Monte CarloMonte Carlo -menetelmätimportance sampling030104 developmental biologyconfidence intervalsymbolsStatistics Probability and UncertaintyApproximate Bayesian computationGeneral Agricultural and Biological SciencesAlgorithm
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Uncommon Suffix Tries

2011

Common assumptions on the source producing the words inserted in a suffix trie with $n$ leaves lead to a $\log n$ height and saturation level. We provide an example of a suffix trie whose height increases faster than a power of $n$ and another one whose saturation level is negligible with respect to $\log n$. Both are built from VLMC (Variable Length Markov Chain) probabilistic sources; they are easily extended to families of sources having the same properties. The first example corresponds to a ''logarithmic infinite comb'' and enjoys a non uniform polynomial mixing. The second one corresponds to a ''factorial infinite comb'' for which mixing is uniform and exponential.

FOS: Computer and information sciencesCompressed suffix arrayPolynomialLogarithmGeneral MathematicsSuffix treevariable length Markov chain[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeprobabilistic source0102 computer and information sciences02 engineering and technologysuffix trie01 natural scienceslaw.inventionCombinatoricslawComputer Science - Data Structures and AlgorithmsTrieFOS: Mathematics0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Mixing (physics)[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]MathematicsDiscrete mathematicsApplied MathematicsProbability (math.PR)020206 networking & telecommunicationssuffix trie.Computer Graphics and Computer-Aided Design[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010201 computation theory & mathematicsmixing properties60J05 37E05Suffix[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilitySoftware
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Critical comments on EEG sensor space dynamical connectivity analysis

2019

Many different analysis techniques have been developed and applied to EEG recordings that allow one to investigate how different brain areas interact. One particular class of methods, based on the linear parametric representation of multiple interacting time series, is widely used to study causal connectivity in the brain. However, the results obtained by these methods should be interpreted with great care. The goal of this paper is to show, both theoretically and using simulations, that results obtained by applying causal connectivity measures on the sensor (scalp) time series do not allow interpretation in terms of interacting brain sources. This is because (1) the channel locations canno…

FOS: Computer and information sciencesComputer scienceSocial SciencesTransfer functionStatistics - Applications050105 experimental psychology03 medical and health sciences0302 clinical medicinegranger causalityMVARHumansApplications (stat.AP)Computer Simulation0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingBrain connectivityEEGTime domainSpurious relationshipRepresentation (mathematics)Mixing (physics)Parametric statisticsBrain MappingRadiological and Ultrasound TechnologySeries (mathematics)05 social sciencesbrain connectivitysource modellingElectroencephalographyNeurologyFOS: Biological sciencesFrequency domainQuantitative Biology - Neurons and CognitionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityDirected transfer functionNeurons and Cognition (q-bio.NC)Neurology (clinical)AnatomyAlgorithm030217 neurology & neurosurgery
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Extending the Unmixing methods to Multispectral Images

2021

In the past few decades, there has been intensive research concerning the Unmixing of hyperspectral images. Some methods such as NMF, VCA, and N-FINDR have become standards since they show robustness in dealing with the unmixing of hyperspectral images. However, the research concerning the unmixing of multispectral images is relatively scarce. Thus, we extend some unmixing methods to the multispectral images. In this paper, we have created two simulated multispectral datasets from two hyperspectral datasets whose ground truths are given. Then we apply the unmixing methods (VCA, NMF, N-FINDR) to these two datasets. By comparing and analyzing the results, we have been able to demonstrate some…

FOS: Computer and information sciencesMultispectral Imagesbusiness.industryComputer scienceComputer Vision and Pattern Recognition (cs.CV)Multispectral imageImage and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionHyperspectral imagingPattern recognitionUnmixingElectrical Engineering and Systems Science - Image and Video ProcessingField (computer science)Non-negative matrix factorizationRobustness (computer science)FOS: Electrical engineering electronic engineering information engineeringArtificial intelligencebusiness
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Directed Assembly of Soft Colloids through Rapid Solvent Exchange

2015

We studied the directed assembly of soft nanoparticles through rapid micromixing of polymers in solution with a nonsolvent. Both experiments and computer simulations were performed to elucidate the underlying physics and to investigate the role of various process parameters. In particular, we discovered that no external stabilizing agents or charged end groups are required to keep the colloids separated from each other when water is used as the nonsolvent. Furthermore, the size of the nanoparticles can be reliably tuned through the mixing rate and the ratio between polymer solution and nonsolvent. Our results demonstrate that this mechanism is highly promising for the mass fabrication of un…

FabricationMaterials scienceMixing (process engineering)General Physics and AstronomyNanoparticleNanotechnology02 engineering and technology010402 general chemistry01 natural sciencesColloidComputer SimulationGeneral Materials ScienceColloidsParticle Sizechemistry.chemical_classificationGeneral EngineeringWaterPolymer021001 nanoscience & nanotechnology0104 chemical sciencesMicromixingSolutionsSolventKineticsModels ChemicalchemistryColloidal particleNanoparticlesPolystyrenesThermodynamics0210 nano-technologyACS Nano
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Design and fabrication of an acoustic micromixer for biological media activation

2014

International audience; The bioassay of infinitesimal quantities of protein markers in biological samples is the way to early cancer detection. However, this detection can be limited by the diffusion of these macromolecules (analytes) from the bulk to the sensor chip (surface of ligands). Here, we propose a new method to overcome this drawback by the activation of the biological media during the detection step. The principle consists in using ultrasonic vibrations in order to disrupt the equilibrium states of such biomolecular reactions and performing simultaneous detection inside an acoustic micromixer. Technological realization and initial characterizations of the device have been perform…

FabricationMaterials scienceSilicon[SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsFlow (psychology)microfluidicMixing (process engineering)Micromixerchemistry.chemical_element02 engineering and technology01 natural sciencesElectronic engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsmicrofabricationEngineering(all)business.industryAcoustic mixing010401 analytical chemistryGeneral Medicine021001 nanoscience & nanotechnologyChipPiezoelectricity0104 chemical sciencesVibrationchemistryOptoelectronics[ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsPiezoelectric0210 nano-technologybusiness
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All-fibered high-quality 1.5–2 THz femtosecond pulse sources

2009

Generation of high-quality ultra-high repetition rate optical pulse trains around 1.55µm has become increasingly interesting for many scientific applications such as optical sampling, ultra-high capacity transmission systems, component testing or nonlinear phenomena studies. Unfortunately, the current bandwidth limitations of optoelectronic devices do not enable the direct generation of pulses with repetition rate higher than 80GHz and a temporal width below a few ps.

Femtosecond pulse shapingFour-wave mixingOpticsMaterials sciencebusiness.industryTerahertz radiationFemtosecond pulseBandwidth (signal processing)OptoelectronicsTransmission systembusinessUltrashort pulseBandwidth-limited pulseCLEO/Europe - EQEC 2009 - European Conference on Lasers and Electro-Optics and the European Quantum Electronics Conference
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320GHz, 640GHz and 1THz femtosecond pulse sources based on multiple four wave mixing in highly non linear optical fibers

2006

Ultra-high repetition rate, transform-limited femtosecond pulse trains have been generated around 1555 nm at 320 GHz, 640 GHz and 1 THz through the compression of a dual frequency beat-signal in a highly nonlinear optical fiber.

Femtosecond pulse shapingOptical fiberMaterials scienceFemtosecond pulsebusiness.industryTerahertz radiationPhysics::OpticsNonlinear optics02 engineering and technology021001 nanoscience & nanotechnology01 natural scienceslaw.invention010309 opticsNonlinear systemFour-wave mixingOpticslawPulse compression0103 physical sciencesOptoelectronics0210 nano-technologybusinessComputingMilieux_MISCELLANEOUS
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Optimization of the coagulation–flocculation treatment: influence of rapid mix parameters

1999

[EN] Turbid waters, containing suspended and colloidal particles, are normally treated by coagulation–flocculation followed by clarification; the process usually consists of the rapid dispersal of a coagulant into the raw water followed by an intense agitation commonly defined as rapid mixing. Rapid mixing is influenced by chemical and physical parameters and the final result of the whole treatment depends on this step. The study focused on the most important parameters of rapid mix design: velocity gradient and rapid mix time. Wastewaters from a tannery processing stored ovine hides were treated with aluminium(III) or iron(III) salts. Experimental results indicate that rapid mix time has a…

FlocculationEnvironmental EngineeringChemistryEcological ModelingRapid mixMixing (process engineering)Environmental engineeringPulp and paper industryPollutionINGENIERIA QUIMICATurbidityWastewaterDistilled waterTannery wastewaterCoagulation (water treatment)Water treatmentWater treatmentTurbidityKaolinWaste Management and DisposalDissolutionCoagulation-flocculationWater Science and TechnologyCivil and Structural EngineeringWater Research
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Gain sideband splitting in dispersion oscillating fibers

2014

International audience; We analyze the modulation instability spectrum in a varying dispersion optical fiber as a function of the dispersion oscillation amplitude. For large dispersion oscillations, we predict a novel sideband splitting into different sub-sidebands. The emergence of the new sidebands is observed whenever the classical perturbation analysis for parametric resonances predicts vanishing sideband amplitudes. The numerical results are in good quantitative agreement with Floquet or Bloch stability analysis of four-wave mixing in the periodic dispersion fiber. We have also shown that linear gain or loss may have a dramatic influence in reshaping the new sidebands.

Floquet theoryOptical fiberDispersion oscillating fiberPhysics::OpticsInstabilitylaw.inventionFour-wave mixingOpticslawDispersion (optics)Electrical and Electronic EngineeringInstrumentationPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics][ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics]Sidebandbusiness.industrymodulation instabilityCondensed Matter::Mesoscopic Systems and Quantum Hall EffectAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsAmplitudeControl and Systems EngineeringModulationQuantum electrodynamicsPhysics::Accelerator PhysicsDispersion oscillating fiber; four-wave mixing; modulation instabilityfour-wave mixingbusiness
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