Search results for "NOISE"

showing 10 items of 1375 documents

Application of Periodic Frames to Image Restoration

2014

In this chapter, we present examples of image restoration using periodic frames. Images to be restored were degraded by blurring, aggravated by random noise and random loss of significant number of pixels. The images are transformed by periodic frames designed in Sects. 17.2 and 17.4, which are extended to the 2D setting in a standard tensor product way. In the presented experiments, performances of different tight and semi-tight frames are compared between each other in identical conditions.

symbols.namesakeTensor productPixelComputer scienceTight frameRandom noiseRandom lossGaussian functionsymbolsAlgorithmInfinite impulse responseImage restoration
researchProduct

Interface Detection Using a Quenched-Noise Version of the Edwards-Wilkinson Equation

2015

We report here a multipurpose dynamic-interface-based segmentation tool, suitable for segmenting planar, cylindrical, and spherical surfaces in 3D. The method is fast enough to be used conveniently even for large images. Its implementation is straightforward and can be easily realized in many environments. Its memory consumption is low, and the set of parameters is small and easy to understand. The method is based on the Edwards-Wilkinson equation, which is traditionally used to model the equilibrium fluctuations of a propagating interface under the influence of temporally and spatially varying noise. We report here an adaptation of this equation into multidimensional image segmentation, an…

ta113Image segmentationta114DiscretizationInterface (Java)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONobject detectionimage edge detectionImage segmentationComputer Graphics and Computer-Aided DesignGrayscaleGray-scaleObject detectionSurface topographyNoiseMathematical modelThree-dimensional displaysSegmentationTomography3D image processingNoiseSurface morphologyAlgorithmSoftwareIEEE Transactions on Image Processing
researchProduct

LOCAL CONTROL OF SOUND IN STOCHASTIC DOMAINS BASED ON FINITE ELEMENT MODELS

2011

A numerical method for optimizing the local control of sound in a stochastic domain is developed. A three-dimensional enclosed acoustic space, for example, a cabin with acoustic actuators in given locations is modeled using the finite element method in the frequency domain. The optimal local noise control signals minimizing the least square of the pressure field in the silent region are given by the solution of a quadratic optimization problem. The developed method computes a robust local noise control in the presence of randomly varying parameters such as variations in the acoustic space. Numerical examples consider the noise experienced by a vehicle driver with a varying posture. In a mod…

ta113Stochastic domainAcoustics and UltrasonicsComputer scienceApplied MathematicsAcousticsNoise reductionNumerical analysisstokastinen aluekvadraattinen optimointipassenger carFinite element methodhenkilöautoelementtimenetelmäAcoustic spacequadratic optimizationNoiseFrequency domainNoise controlHelmholtz equationQuadratic programmingpaikallinen äänenhallintaäärellisten elementtien menetelmäHelmholtzin yhtälölocal sound controlJournal of Computational Acoustics
researchProduct

Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection

2011

To high-density electroencephalography (EEG) recordings, determining the number of sources to separate the signal and the noise subspace is very important. A mostly used criterion is that percentage of variance of raw data explained by the selected principal components composing the signal space should be over 90%. Recently, a model order selection method named as GAP has been proposed. We investigated the two methods by performing independent component analysis (ICA) on the estimated signal subspace, assuming the number of selected principal components composing the signal subspace is equal to the number of sources of brain activities. Through examining wavelet-filtered EEG recordings (128…

ta113medicine.diagnostic_testNoise (signal processing)business.industryPattern recognitionElectroencephalographyExplained variationIndependent component analysisSignalPrincipal component analysismedicineArtificial intelligencebusinessSubspace topologyMathematicsSignal subspace2011 IEEE International Workshop on Machine Learning for Signal Processing
researchProduct

Modelling Recurrent Events for Improving Online Change Detection

2016

The task of online change point detection in sensor data streams is often complicated due to presence of noise that can be mistaken for real changes and therefore affecting performance of change detectors. Most of the existing change detection methods assume that changes are independent from each other and occur at random in time. In this paper we study how performance of detectors can be improved in case of recurrent changes. We analytically demonstrate under which conditions and for how long recurrence information is useful for improving the detection accuracy. We propose a simple computationally efficient message passing procedure for calculating a predictive probability distribution of …

ta113noiseComputer scienceData stream miningMessage passingDetectordata streamsonline change detection02 engineering and technologycomputer.software_genreTask (computing)recurrent eventschange points020204 information systems0202 electrical engineering electronic engineering information engineeringProbability distribution020201 artificial intelligence & image processingNoise (video)Data miningBaseline (configuration management)computerChange detectionProceedings of the 2016 SIAM International Conference on Data Mining
researchProduct

Tekninen analyysi sijoituspäätöksen tukena

1999

tehottomuusNoise tradingtekninen analyysitukitasotosakemarkkinatvastustasot
researchProduct

Reducing 1/f noise in Al-AlOx-Al tunnel junctions by thermal annealing

2009

tunnel junctionnoisenanofysiikka1/f-noisemateriaalitekniikka
researchProduct

TRANSCRANIAL MAGNETIC RESONANCE-GUIDED FOCUSED ULTRASOUND (TCMRGFUS) CON SCANNER DA 1.5T: NOTA TECNICA

2018

Scopo La terapia dei disordini neurologici mediante tcMRgFUS è stata effettuata utilizzando esclusivamente scanner RM da 3T. Utilizzando uno scanner RM da 1.5T la qualità delle sequenze morfologiche utilizzabili per la pianificazione di questi trattamenti è risultata essere soddisfacente utilizzando la bobina body RF (quella utilizzata con scanner 3T). Tuttavia l'SNR delle sequenze utilizzate per la termometria RM è risultato inferiore allo standard accettabile per i trattamenti. È stata quindi sviluppata una bobina a 2 canali per assicurare un adeguato SNR. Presentiamo il protocollo di imaging efficacemente utilizzato per eseguire procedure tcMRgFUS con il primo sistema mai integrato …

ultrasuoni focalizzati risonanza magnetica signal-to-noise ratioSettore MED/37 - NeuroradiologiaSettore MED/36 - Diagnostica Per Immagini E RadioterapiaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct

Theory of phase-mixing amplification in an optomechanical system

2017

The investigation of the ultimate limits imposed by quantum mechanics on amplification represents an important topic both on a fundamental level and from the perspective of potential applications. We discuss here a novel regime for bosonic linear amplifiers—beside phase-insensitive and phase-sensitive amplification—which we term here phase-mixing amplification. Furthermore, we show that phase-mixing amplification can be realised in a cavity optomechanical setup, constituted by a mechanical resonator which is dispersively coupled to an optomechanical cavity asymmetrically driven around both mechanical sidebands. While, in general, this amplifier is phase-mixing, for a suitable choice of para…

vahvistimetquantum noisePhysics::Opticskvanttifysiikkakvantti-optomekaniikkakvanttiteoriaquantum amplifierkvanttimeluoptomechanicsmelu
researchProduct

Spin Pumping and Torque Statistics in the Quantum Noise Limit

2017

We analyze the statistics of charge and energy currents and spin torque in a metallic nanomagnet coupled to a large magnetic metal via a tunnel contact. We derive a Keldysh action for the tunnel barrier, describing the stochastic currents in the presence of a magnetization precessing with the rate Ω. In contrast to some earlier approaches, our result is valid for an arbitrary ratio of ℏΩ/kBT. We illustrate the use of the action by deriving spintronic fluctuation relations, the quantum limit of pumped current noise, and consider the fluctuations in two specific cases: the situation with a stable precession of magnetization driven by spin transfer torque, and the torque-induced switching betw…

virtauslaskentaspin pumpingnanotekniikkakvanttimekaniikkaquantum noise limitmagnetismitorque statistics
researchProduct