Search results for " NOISE"

showing 10 items of 659 documents

Digital information receiver based on stochastic resonance

2003

International audience; An electronic receiver based on stochastic resonance is presented to rescue subthreshold modulated digital data. In real experiment, it is shown that a complete data restoration is achieved for both uniform and Gaussian white noise.

Complete data[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceStochastic resonance[ PHYS.COND.CM-DS-NN ] Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]Digital dataNonlinear signal processing[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010305 fluids & plasmas[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciencesElectronic engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS][PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn]stochastic resonance010306 general physicsEngineering (miscellaneous)Subthreshold conductionbusiness.industryApplied MathematicsWhite noise[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsNonlinear systemModeling and SimulationNonlinear dynamicsTelecommunicationsbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Extension of The Stochastic Differential Calculus To Complex Processes

1996

In structural engineering complex processes arise to predict the first excursion failure, fatigue failure, etc. Indeed to solve these problems the envelope function, which is the modulus of a complex process, is usually introduced. In this paper the statistics of the complex response process related to the envelope statistics of linear systems subjected to parametric stationary normal white noise input are evaluated by using extensively the properties of stochastic differential calculus.

Complex responseProcess (engineering)Multivariable calculusExcursionLinear systemMathematical analysisApplied mathematicsDifferential calculusWhite noiseMathematicsParametric statistics
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Complex Systems: an Interdisciplinary Approach

2011

Two main peculiarities characterize complex systems: the nonlinearity and the noisy environmental interaction. The comprehension of noise role in the dynamics of nonlinear systems plays a key aspect in the efforts devoted to understand and model so-called complex systems.

Complex systems Interdisciplinary Physics Noise induced effects nonlinear stochastic dynamics noise enhanced stability stochastic resonance resonant activationSettore FIS/03 - Fisica Della Materia
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Population Monte Carlo Schemes with Reduced Path Degeneracy

2017

Population Monte Carlo (PMC) algorithms are versatile adaptive tools for approximating moments of complicated distributions. A common problem of PMC algorithms is the so-called path degeneracy; the diversity in the adaptation is endangered due to the resampling step. In this paper we focus on novel population Monte Carlo schemes that present enhanced diversity, compared to the standard approach, while keeping the same implementation structure (sample generation, weighting and resampling). The new schemes combine different weighting and resampling strategies to reduce the path degeneracy and achieve a higher performance at the cost of additional low computational complexity cost. Computer si…

Computational complexity theoryMonte Carlo methodApproximation algorithm020206 networking & telecommunications02 engineering and technology01 natural sciencesStatistics::ComputationWeighting010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingGaussian noiseResamplingPath (graph theory)0202 electrical engineering electronic engineering information engineeringsymbols0101 mathematicsDegeneracy (mathematics)Algorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS
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On the effect of analog noise in discrete-time analog computations

1998

We introduce a model for analog computation with discrete time in the presence of analog noise that is flexible enough to cover the most important concrete cases, such as noisy analog neural nets and networks of spiking neurons. This model subsumes the classical model for digital computation in the presence of noise. We show that the presence of arbitrarily small amounts of analog noise reduces the power of analog computational models to that of finite automata, and we also prove a new type of upper bound for the VC-dimension of computational models with analog noise.

Computational modelFinite-state machineArtificial neural networkComputer scienceCognitive NeuroscienceComputationanalog noiseAnalog signal processingUpper and lower boundsArts and Humanities (miscellaneous)Discrete time and continuous timeNoise (video)Algorithmanalog computations
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Noise assisted image processing by ensembles of R-SETs

2017

AbstractWe study how noise can assist the processing of an image in a resistance-single electron transistor (R-SET) model. The image is an 8-bit black and white picture. Every grey level is codified linearly into a sub-threshold input potential applied for a prescribed time window to an ensemble of R-SETs that transforms it into a spiking frequency. The addition of a background white noise potential of high amplitude permits the ensemble to process the image by means of the stochastic resonance phenomenon. Aside from the positive aspects, we analyse the negative impact of using noise and how we can minimize it using redundancy and a longer measuring time. The results are compared with the c…

Computer Networks and CommunicationsComputer scienceStochastic resonancebusiness.industryImage processing02 engineering and technologyWhite noise021001 nanoscience & nanotechnologyMachine learningcomputer.software_genre03 medical and health sciencesNoise0302 clinical medicineRedundancy (information theory)Dark-frame subtractionImage noiseMedian filterArtificial intelligence0210 nano-technologybusinesscomputerAlgorithm030217 neurology & neurosurgerySoftwareInternational Journal of Parallel, Emergent and Distributed Systems
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Estimation of confidence limits for descriptive indexes derived from autoregressive analysis of time series: Methods and application to heart rate va…

2017

The growing interest in personalized medicine requires making inferences from descriptive indexes estimated from individual recordings of physiological signals, with statistical analyses focused on individual differences between/within subjects, rather than comparing supposedly homogeneous cohorts. To this end, methods to compute confidence limits of individual estimates of descriptive indexes are needed. This study introduces numerical methods to compute such confidence limits and perform statistical comparisons between indexes derived from autoregressive (AR) modeling of individual time series. Analytical approaches are generally not viable, because the indexes are usually nonlinear funct…

Computer and Information SciencesStatistical methodsConfidence Intervals; Humans; Monte Carlo Method; Regression Analysis; Heart Rate; Biochemistry Genetics and Molecular Biology (all); Agricultural and Biological Sciences (all)EntropyCardiologylcsh:MedicineResearch and Analysis MethodsSystems ScienceRegression AnalysiHeart RateConfidence IntervalsMedicine and Health SciencesHumanslcsh:ScienceBiochemistry Genetics and Molecular Biology (all)Simulation and ModelingPhysicslcsh:RProbability TheoryMonte Carlo methodAgricultural and Biological Sciences (all)Nonlinear DynamicsWhite NoiseSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaPhysical SciencesSignal ProcessingMathematical and statistical techniquesThermodynamicsEngineering and TechnologyRegression Analysislcsh:QConfidence IntervalMathematicsStatistics (Mathematics)HumanResearch ArticleStatistical DistributionsPLoS ONE
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A Novel Solution to Find the Dynamic Response of an Euler–Bernoulli Beam Fitted with Intraspan TMDs under Poisson Type Loading

2020

This contribution considers a virtual experiment on the vibrational response of rail and road bridges equipped with smart devices in the form of damping elements to mitigate vibrations. The internal damping of the bridge is considered a discontinuity that contain a dashpot. Exact complex eigenvalues and eigenfunctions are derived from a characteristic equation built as the determinant of a 4 x 4 matrix

Computer science020101 civil engineeringPoissonian Loading02 engineering and technologylcsh:TechnologyDashpot0201 civil engineeringDamper0203 mechanical engineeringTuned mass damperGeneral Materials ScienceEigenvalues and eigenvectorsCivil and Structural EngineeringGeneralized functionTuned Mass Damperlcsh:TMathematical analysisCharacteristic equationBuilding and ConstructionWhite noiseGeotechnical Engineering and Engineering GeologyComputer Science ApplicationsVibration020303 mechanical engineering & transportsEuler Bernoulli BeamEuler Bernoulli beam Poissonian loading Tuned mass damperSettore ICAR/08 - Scienza Delle CostruzioniInfrastructures
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Efficient FPGA Implementation of an Adaptive Noise Canceller

2006

A hardware implementation of an adaptive noise canceller (ANC) is presented. It has been synthesized within an FPGA, using a modified version of the least mean square (LMS) error algorithm. The results obtained so far show a significant decrease of the required gate count when compared with a standard LMS implementation, while increasing the ANC bandwidth and signal to noise (S/N) ratio. This novel adaptive noise canceller is then useful for enhancing the S/N ratio of data collected from sensors (or sensor arrays) working in noisy environment, or dealing with potentially weak signals.

Computer scienceBandwidth (signal processing)Real-time computingSignal synthesisElectroencephalographyBioelectric potentialsLeast mean squares filterSignal-to-noise ratioGate countError analysisElectronic engineeringHardware_ARITHMETICANDLOGICSTRUCTURESField-programmable gate arrayEvoked PotentialsActive noise control
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Ownership protection of plenoptic images by robust and reversible watermarking

2018

Abstract Plenoptic images are highly demanded for 3D representation of broad scenes. Contrary to the images captured by conventional cameras, plenoptic images carry a considerable amount of angular information, which is very appealing for 3D reconstruction and display of the scene. Plenoptic images are gaining increasing importance in areas like medical imaging, manufacturing control, metrology, or even entertainment business. Thus, the adaptation and refinement of watermarking techniques to plenoptic images is a matter of raising interest. In this paper a new method for plenoptic image watermarking is proposed. A secret key is used to specify the location of logo insertion. Employing discr…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologies02 engineering and technologysymbols.namesakeRobustness (computer science)0202 electrical engineering electronic engineering information engineeringDiscrete cosine transformMedian filterComputer visionElectrical and Electronic EngineeringDigital watermarking021110 strategic defence & security studiesbusiness.industryMechanical EngineeringWatermarkÒpticaPeak signal-to-noise ratioAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsGaussian noiseHuman visual system modelsymbols020201 artificial intelligence & image processingArtificial intelligencebusinessImatges Processament Tècniques digitalsOptics and Lasers in Engineering
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