Search results for "electronics"

showing 10 items of 4340 documents

Modeling Networks of Probabilistic Memristors in SPICE

2021

Efficient simulation of stochastic memristors and their networks requires novel modeling approaches. Utilizing a master equation to find occupation probabilities of network states is a recent major departure from typical memristor modeling [Chaos, solitons fractals 142, 110385 (2021)]. In the present article we show how to implement such master equations in SPICE – a general purpose circuit simulation program. In the case studies we simulate the dynamics of acdriven probabilistic binary and multi-state memristors, and dc-driven networks of probabilistic binary and multi-state memristors. Our SPICE results are in perfect agreement with known analytical solutions. Examples of LTspice code are…

FOS: Computer and information sciencesHardware_MEMORYSTRUCTURESCondensed Matter - Mesoscale and Nanoscale PhysicsFOS: Physical sciencesComputer Science - Emerging TechnologiesComputer Science::Hardware ArchitectureEmerging Technologies (cs.ET)Computer Science::Emerging TechnologiesmemristorsspicenetworksMesoscale and Nanoscale Physics (cond-mat.mes-hall)lcsh:Electrical engineering. Electronics. Nuclear engineeringprobabilistic computinglcsh:TK1-9971Radioengineering
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Adaptive independent sticky MCMC algorithms

2018

In this work, we introduce a novel class of adaptive Monte Carlo methods, called adaptive independent sticky MCMC algorithms, for efficient sampling from a generic target probability density function (pdf). The new class of algorithms employs adaptive non-parametric proposal densities which become closer and closer to the target as the number of iterations increases. The proposal pdf is built using interpolation procedures based on a set of support points which is constructed iteratively based on previously drawn samples. The algorithm's efficiency is ensured by a test that controls the evolution of the set of support points. This extra stage controls the computational cost and the converge…

FOS: Computer and information sciencesMathematical optimizationAdaptive Markov chain Monte Carlo (MCMC)Monte Carlo methodBayesian inferenceHASettore SECS-P/05 - Econometrialcsh:TK7800-8360Machine Learning (stat.ML)02 engineering and technologyBayesian inference01 natural sciencesStatistics - Computationlcsh:Telecommunication010104 statistics & probabilitysymbols.namesakeAdaptive Markov chain Monte Carlo (MCMC); Adaptive rejection Metropolis sampling (ARMS); Bayesian inference; Gibbs sampling; Hit and run algorithm; Metropolis-within-Gibbs; Monte Carlo methods; Signal Processing; Hardware and Architecture; Electrical and Electronic EngineeringGibbs samplingStatistics - Machine Learninglcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringComputational statisticsMetropolis-within-GibbsHit and run algorithm0101 mathematicsElectrical and Electronic EngineeringGaussian processComputation (stat.CO)MathematicsSignal processinglcsh:Electronics020206 networking & telecommunicationsMarkov chain Monte CarloMonte Carlo methodsHardware and ArchitectureSignal ProcessingSettore SECS-S/03 - Statistica EconomicasymbolsSettore SECS-S/01 - StatisticaStatistical signal processingGibbs samplingAdaptive rejection Metropolis sampling (ARMS)EURASIP Journal on Advances in Signal Processing
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Multispectral image denoising with optimized vector non-local mean filter

2016

Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it is essential to develop techniques to attenuate the impact of noise, while maintaining the integrity of relevant information in images. We propose in this work to extend the application of the Non-Local Means filter (NLM) to the vector case and apply it for denoising multispectral images. The objective is to benefit from the additional information brought by multispectral imaging systems. The NLM filter exploits the redundancy of information in an image to remove noise. A …

FOS: Computer and information sciencesMulti-spectral imaging systemsComputer Vision and Pattern Recognition (cs.CV)Optimization frameworkMultispectral imageComputer Science - Computer Vision and Pattern Recognition02 engineering and technologyWhite noisePixels[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringComputer visionUnbiased risk estimatorMultispectral imageMathematicsMultispectral imagesApplied MathematicsBilateral FilterNumerical Analysis (math.NA)Non-local meansAdditive White Gaussian noiseStein's unbiased risk estimatorIlluminationComputational Theory and MathematicsRestorationImage denoisingsymbols020201 artificial intelligence & image processingNon-local mean filtersComputer Vision and Pattern RecognitionStatistics Probability and UncertaintyGaussian noise (electronic)Non- local means filtersAlgorithmsNoise reductionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFace Recognitionsymbols.namesakeNoise RemovalArtificial IntelligenceFOS: MathematicsParameter estimationMedian filterMathematics - Numerical AnalysisElectrical and Electronic EngineeringFusionPixelbusiness.industryVector non-local mean filter020206 networking & telecommunicationsPattern recognitionFilter (signal processing)Bandpass filters[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsStein's unbiased risk estimators (SURE)NoiseAdditive white Gaussian noiseComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingArtificial intelligenceReconstructionbusinessModel
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Acoustic Scene Classification with Squeeze-Excitation Residual Networks

2020

Acoustic scene classification (ASC) is a problem related to the field of machine listening whose objective is to classify/tag an audio clip in a predefined label describing a scene location (e. g. park, airport, etc.). Many state-of-the-art solutions to ASC incorporate data augmentation techniques and model ensembles. However, considerable improvements can also be achieved only by modifying the architecture of convolutional neural networks (CNNs). In this work we propose two novel squeeze-excitation blocks to improve the accuracy of a CNN-based ASC framework based on residual learning. The main idea of squeeze-excitation blocks is to learn spatial and channel-wise feature maps independently…

FOS: Computer and information sciencesSound (cs.SD)Computer Science - Machine LearningGeneral Computer ScienceCalibration (statistics)Computer scienceResidualConvolutional neural networkField (computer science)Computer Science - SoundMachine Learning (cs.LG)030507 speech-language pathology & audiology03 medical and health sciencesAudio and Speech Processing (eess.AS)Acoustic scene classificationFeature (machine learning)FOS: Electrical engineering electronic engineering information engineeringGeneral Materials ScienceBlock (data storage)Artificial neural networkbusiness.industrypattern recognitionGeneral Engineeringdeep learningPattern recognitionmachine listeningsqueeze-excitationArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineering0305 other medical sciencebusinesslcsh:TK1-9971Electrical Engineering and Systems Science - Audio and Speech Processing
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Compact 20-pass thin-disk amplifier insensitive to thermal lensing

2019

We present a multi-pass amplifier which passively compensates for distortions of the spherical phase front occurring in the active medium. The design is based on the Fourier transform propagation which makes the output beam parameters insensitive to variation of thermal lens effects in the active medium. The realized system allows for 20 reflections on the active medium and delivers a small signal gain of 30 with M$^2$ = 1.16. Its novel geometry combining Fourier transform propagations with 4f-imaging stages as well as a compact array of adjustable mirrors allows for a layout with a footprint of 400 mm x 1000 mm.

FOS: Physical sciences02 engineering and technology7. Clean energy01 natural scienceslaw.invention010309 opticsFootprint (electronics)symbols.namesake020210 optoelectronics & photonicsOpticslaw0103 physical sciencesThermal0202 electrical engineering electronic engineering information engineeringThin-disk lasers; Multi-pass amplifier; Optical Fourier transform; High power; Relay imaging; Thermal lens; Mirror arrayPhysicsbusiness.industryAmplifierLens (optics)Fourier transformThin disksymbolsThermal lensingbusinessBeam (structure)Optics (physics.optics)Physics - Optics
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Spontaneous emission of a sodium Rydberg atom close to an optical nanofibre

2019

International audience; We report on numerical calculations of the spontaneous emission rate of a Rydberg-excited sodium atom in the vicinity of an optical nanobre. In particular, we study how this rate varies with the distance of the atom to the bre, the bre's radius, the symmetry s or p of the Rydberg state as well as its principal quantum number. We nd that a fraction of the spontaneously emitted light can be captured and guided along the bre. This suggests that such a setup could be used for networking atomic ensembles, manipulated in a collective way due to the Rydberg blockade phenomenon.

FOS: Physical sciences02 engineering and technologyoptical nanofibres01 natural sciencessymbols.namesake020210 optoelectronics & photonics[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]0103 physical sciencesAtomPrincipal quantum number0202 electrical engineering electronic engineering information engineeringSpontaneous emissionPhysics::Atomic Physics010306 general physicsPhysicsQuantum Physics[PHYS.PHYS.PHYS-ATOM-PH]Physics [physics]/Physics [physics]/Atomic Physics [physics.atom-ph]Spontaneous emission ratesRadiusCondensed Matter Physicsspontaneous emission ratesAtomic and Molecular Physics and OpticsSymmetry (physics)Optical nanobresRydberg atomRydberg formulasymbols[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Atomic physicsRydberg stateQuantum Physics (quant-ph)Rydberg atoms
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The temporal analogue of diffractive couplers

2020

International audience; Based on the space-time duality of light, we numerically demonstrate that temporal dispersion grating couplers can generate from a single pulse an array of replicas of equal amplitude. The phase-only profile of the temporal grating is optimized by a genetic algorithm that takes into account the optoelectronic bandwidth limitations of the setup.

FOS: Physical sciencesDuality (optimization)Physics::Optics02 engineering and technologyGrating01 natural sciences010309 optics020210 optoelectronics & photonicsOptics0103 physical sciencesDispersion (optics)Genetic algorithm0202 electrical engineering electronic engineering information engineeringUltrafast processingPhysics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]business.industryBandwidth (signal processing)Single pulseGeneral MedicineQC350-467Optics. LightAmplitudePhase modulationSpace-time analogybusinessOptics (physics.optics)Physics - Optics
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Hyperspectral optical near-field imaging: Looking graded photonic crystals and photonic metamaterials in color

2012

International audience; Using a scanning near-field optical microscope operating with a hyperspectral detection scheme, we report the direct observation of the mirage effect within an on-chip integrated artificial material made of a two dimensional graded photonic crystal. The light rainbow due to the material dispersion is quantified experimentally and quantitatively compared to three dimensional plane wave assisted Hamiltonian optics predictions of light propagation.

FREQUENCIESMaterials sciencePhysics and Astronomy (miscellaneous)business.industryNear-field opticsPlane waveMetamaterialHyperspectral imaging02 engineering and technologyHamiltonian optics021001 nanoscience & nanotechnology01 natural sciencesPhotonic metamaterial[SPI.AUTO]Engineering Sciences [physics]/AutomaticOpticsLIGHT0103 physical sciencesDispersion (optics)OptoelectronicsSPACE010306 general physics0210 nano-technologybusinessSILICONPhotonic crystal
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Optimized substrates and measurement approaches for Raman spectroscopy of graphene nanoribbons

2019

The on-surface synthesis of graphene nanoribbons (GNRs) allows for the fabrication of atomically precise narrow GNRs. Despite their exceptional properties which can be tuned by ribbon width and edge structure, significant challenges remain for GNR processing and characterization. In this contribution, we use Raman spectroscopy to characterize different types of GNRs on their growth substrate and to track their quality upon substrate transfer. We present a Raman-optimized (RO) device substrate and an optimized mapping approach that allows for acquisition of high-resolution Raman spectra, achieving enhancement factors as high as 120 with respect to signals measured on standard SiO2/Si substra…

Fabrication530 PhysicsFOS: Physical sciences02 engineering and technologySubstrate (electronics)01 natural sciencessymbols.namesakeQuality (physics)540 Chemistry0103 physical sciencesRibbon010302 applied physicsCondensed Matter - Materials Sciencebusiness.industryMaterials Science (cond-mat.mtrl-sci)021001 nanoscience & nanotechnologyCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsCharacterization (materials science)Molecular vibrationsymbols570 Life sciences; biologyOptoelectronics0210 nano-technologybusinessRaman spectroscopyGraphene nanoribbons
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Fabrication of polarizing photonic crystal fibres and photonic crystal fibre tapers: Applications

2007

We report the fabrication of an anisotropic photonic crystal fibre with polarization properties and photonic crystal fibre tapers for supercontinuum generation. The anisotropy of the fibre was created by enlarging four airholes next to the silica core. Different polarization regimes as a function of the geometric parameters, including polarizing behaviour at 1.55 mum, were obtained. In the second part of the paper, we report the fabrication of photonic crystal fibre tapers. We present experimental results on supercontinuum generation in photonic crystal fibre tapers using quasi-continuous pump pulses of 7 ns duration at 532 nm and at 1064 nm.

FabricationBirefringenceMaterials sciencebusiness.industryPhysics::OpticsNonlinear opticsYablonoviteSupercontinuumSubwavelength-diameter optical fibreOpticsOptoelectronicsbusinessPhotonic-crystal fiberPhotonic crystal
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