Search results for " wavelet Transform"

showing 10 items of 74 documents

Measuring spectrally-resolved information transfer.

2020

Information transfer, measured by transfer entropy, is a key component of distributed computation. It is therefore important to understand the pattern of information transfer in order to unravel the distributed computational algorithms of a system. Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable. Here, we present a novel algorithm, and its efficient implementation, to identify separately frequencies sending and receiving information in a network. Our approach relies on the invertible maximum overlap discrete wavelet transform (MODWT) for the creation of surrogate data in t…

0301 basic medicineDiscrete wavelet transformInformation transferComputer scienceEntropyInformation Theory0302 clinical medicineWaveletMathematical and Statistical TechniquesMedicine and Health SciencesBiology (General)Wavelet TransformsTemporal cortexMammalsEcologySystems BiologyApplied MathematicsSimulation and ModelingPhysicsWavelet transformMagnetoencephalographyEukaryotaBrainSignal FilteringComputational Theory and MathematicsModeling and SimulationPhysical SciencesVertebratesThermodynamicsEngineering and TechnologyWavelet transforms ; Algorithms ; Magnetoencephalography ; Information entropy ; Signal filtering ; Ferrets ; Permutation ; EntropyAnatomyAlgorithmInformation EntropyAlgorithmsResearch ArticleComputer and Information SciencesQH301-705.5PermutationWavelet AnalysisPrefrontal CortexResearch and Analysis Methods03 medical and health sciencesCellular and Molecular NeuroscienceGeneticsEntropy (information theory)AnimalsHumansInformation flow (information theory)Molecular BiologyEcology Evolution Behavior and SystematicsDiscrete MathematicsFerretsOrganismsBiology and Life Sciences030104 developmental biologyCombinatoricsSignal ProcessingAmniotesTransfer entropyZoologyMathematical Functions030217 neurology & neurosurgeryMathematicsPLoS computational biology
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Estimation of Muscular Fatigue under Electromyostimulation Using CWT

2012

International audience; The aims of this study are to investigate muscular fatigue and to propose a new fatigue index based on the continuous wavelet transform (CWT) which is compared to the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction thanks to two modules (electromyostimulation + electromyography recording) that can analyze EMG signals in real time during electromyostimulation. The extracted parameters are compared with each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustn…

AdultMaletruncationwavelet.Acoustics0206 medical engineeringBiomedical EngineeringWavelet Analysis02 engineering and technologyElectromyography03 medical and health sciences0302 clinical medicineWaveletwaveletmedicineHumansContinuous wavelet transformMathematicsMuscle fatiguemedicine.diagnostic_testMuscle fatigueElectromyographyBiomechanicsWavelet transform020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/ElectronicsElectric StimulationElectromyogram[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsForearmMuscular fatigueArmElectromyostimulation030217 neurology & neurosurgeryBiomedical engineering
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Automatic Processing Scheme for Low Laser Invasiveness Electro Optical Frequency Mapping mode

2016

International audience; Electro optical techniques are efficient backside contactless techniques usually used for design debug and defect location in modern VLSI. Unfortunately, the signal to noise ratio is quite low and depends on laser power with potential device stress due to long acquisition time or high laser power, especially in up to date technologies. Under these conditions, to maintain a good signal or image quality, specific signal or image processing techniques can be implemented. In this paper, we proposed a new spatial filtering by stationary wavelets and contrast enhancement which allows the use of low laser power and short acquisition time in image mode.

Contrast enhancementImage qualityComputer science[SPI] Engineering Sciences [physics]Wavelet shrinkageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEOFMImage processing02 engineering and technology01 natural sciencesSignallaw.invention[SPI]Engineering Sciences [physics]Image modeSignal-to-noise ratiolaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineering[ SPI ] Engineering Sciences [physics]EOPLaser power scalingStationary Wavelet Transform010302 applied physicsSpatial filter020208 electrical & electronic engineeringLaser[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFiltering
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Fast algorithms for free-space diffraction patterns calculation

1999

Here we present a fast algorithm for Fresnel integral calculation. Some fast algorithms using the fast Fourier transform are analysed and their performance has been checked. These methods are of easy implementation, but are only valid for a specific range of distances. Fast algorithms based on the Fractional Fourier transform allow accurate evaluation of the Fresnel integral from object to Fraunhofer domain in a single step.

DiffractionComputer sciencebusiness.industryFast Fourier transformPhysics::OpticsFresnel integralAtomic and Molecular Physics and OpticsDiscrete Fourier transformFractional Fourier transformElectronic Optical and Magnetic MaterialsDiscrete Fourier transform (general)symbols.namesakeCyclotomic fast Fourier transformOpticsFourier transformsymbolsPseudo-spectral methodElectrical and Electronic EngineeringPhysical and Theoretical ChemistryHarmonic wavelet transformbusinessAlgorithmFresnel diffractionOptics Communications
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Developing and Integrating Advanced Movement Features Improves Automated Classification of Ciliate Species

2015

Recent advances in tracking technologies such as GPS or video tracking systems describe the movement paths of individuals in unprecedented details and are increasingly used in different fields, including ecology. However, extracting information from raw movement data requires advanced analysis techniques, for instance to infer behaviors expressed during a certain period of the recorded trajectory, or gender or species identity in case data is obtained from remote tracking. In this paper, we address how different movement features affect the ability to automatically classify the species identity, using a dataset of unicellular microbes (i.e., ciliates). Previously, morphological attributes a…

Discrete wavelet transformAquatic OrganismsScienceMovementDecision tree1100 General Agricultural and Biological SciencesTheoretical ecologyBiologyMachine learningcomputer.software_genre1300 General Biochemistry Genetics and Molecular BiologyEnvironmental monitoringEntropy (information theory)910 Geography & travelCiliophora1000 MultidisciplinaryMultidisciplinarybusiness.industryEcologyQRWavelet transformCorrection10122 Institute of GeographyVideo trackingRemote Sensing TechnologyGlobal Positioning SystemMedicineArtificial intelligencebusinesscomputerAlgorithmsResearch ArticlePloS one
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Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data

2016

A novel wavelet-based scheme to increase coefficient independence in hyperspectral images is introduced for lossless coding. The proposed regression wavelet analysis (RWA) uses multivariate regression to exploit the relationships among wavelet-transformed components. It builds on our previous nonlinear schemes that estimate each coefficient from neighbor coefficients. Specifically, RWA performs a pyramidal estimation in the wavelet domain, thus reducing the statistical relations in the residuals and the energy of the representation compared to existing wavelet-based schemes. We propose three regression models to address the issues concerning estimation accuracy, component scalability, and c…

Discrete wavelet transformComputational complexity theorybusiness.industry0211 other engineering and technologiesHyperspectral imagingPattern recognitionRegression analysis02 engineering and technologyWavelet packet decompositionWaveletPrincipal component analysis0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligenceElectrical and Electronic Engineeringbusiness021101 geological & geomatics engineeringRemote sensingMathematicsCoding (social sciences)IEEE Transactions on Geoscience and Remote Sensing
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Data Compression Using Wavelet and Local Cosine Transforms

2015

The chapter describes an algorithm that compresses two-dimensional data arrays, which are piece-wise smooth in one direction and have oscillating events in the other direction. Seismic, hyper-spectral and fingerprints data, for example, have such a mixed structure. The transform part of the compression process is an algorithm that combines wavelet and local cosine transform (LCT). The quantization and the entropy coding parts of the compression are taken from the SPIHT codec. To efficiently apply the SPIHT codec to a mixed coefficients array, reordering of the LCT coefficients takes place. On the data arrays, which have the mixed structure, this algorithm outperforms other algorithms that a…

Discrete wavelet transformComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformData_CODINGANDINFORMATIONTHEORYcomputer.file_formatWavelet packet decompositionSet partitioning in hierarchical treesWaveletJPEG 2000Discrete cosine transformAlgorithmcomputerData compression
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Automated detection and localization system of myocardial infarction in single-beat ECG using Dual-Q TQWT and wavelet packet tensor decomposition.

2019

Abstract Background and objective It is challenging to conduct real-time identification of myocardial infarction (MI) due to artifact corruption and high dimensionality of multi-lead electrocardiogram (ECG). In the present study, we proposed an automated single-beat MI detection and localization system using dual-Q tunable Q-factor wavelet transformation (Dual-Q TQWT) denoising algorithm. Methods After denoising and segmentation of ECG, a fourth-order wavelet tensor (leads × subbands × samples × beats) was constructed based on the discrete wavelet packet transform (DWPT), to represent the features considering the information of inter-beat, intra-beat, inter-frequency, and inter-lead. To red…

Discrete wavelet transformComputer scienceNoise reductionMyocardial InfarctionWavelet AnalysisHealth InformaticsHilbert–Huang transform030218 nuclear medicine & medical imaging03 medical and health sciencesAutomationElectrocardiography0302 clinical medicineWaveletHumansSegmentationPrincipal Component Analysisbusiness.industryReproducibility of ResultsPattern recognitionSignal Processing Computer-AssistedMultilinear principal component analysisComputer Science ApplicationsCase-Control StudiesArtificial intelligencebusinessClassifier (UML)030217 neurology & neurosurgerySoftwareAlgorithmsComputer methods and programs in biomedicine
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Wavelet-based efficient simulation of electromagnetic transients in a lightning protection system

2003

In this paper, a wavelet-based efficient simulation of electromagnetic transients in a lightning protection systems (LPS) is presented. The analysis of electromagnetic transients is carried out by employing the thin-wire electric field integral equation in frequency domain. In order to easily handle the boundary conditions of the integral equation, semiorthogonal compactly supported spline wavelets, constructed for the bounded interval [0,1], have been taken into account in expanding the unknown longitudinal currents. The integral equation is then solved by means of the Galerkin method. As a preprocessing stage, a discrete wavelet transform is used in order to efficiently compress the Fouri…

Discrete wavelet transformCooley–Tukey FFT algorithmComputer scienceFast Fourier transformElectric-field integral equationSettore MAT/08 - Analisi Numericasymbols.namesakeWaveletWaveformBoundary value problemElectrical and Electronic EngineeringElectromagnetic transient analysiGalerkin methodIntegral equationContinuous wavelet transformMathematical analysisWavelet transformIntegral equationElectronic Optical and Magnetic MaterialsSettore ING-IND/31 - ElettrotecnicaSpline (mathematics)Fourier transformFrequency domainsymbolsWavelet transformHarmonic wavelet transformIEEE Transactions on Magnetics
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Discrete wavelet transform based multispectral filter array demosaicking

2013

International audience; The idea of colour filter array may be adapted to multi-spectral image acquisition by integrating more filter types into the array, and developing associated demosaicking algorithms. Several methods employing discrete wavelet transform (DWT) have been proposed for CFA demosaicking. In this work, we put forward an extended use of DWT for mul-tispectral filter array demosaicking. The extension seemed straightforward, however we observed striking results. This work contributes to better understanding of the issue by demonstrating that spectral correlation and spatial resolution of the images exerts a crucial influence on the performance of DWT based demosaicking.

Discrete wavelet transformDWT based demosaickingHyperspectral imagingComputer scienceMultispectralMultispectral image[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologymultispectral filter array demosaicking01 natural sciencesfilter array[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingimage colour analysis[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionOptical filterImage resolutionimage segmentationDemosaicingmultispectral image acquisitionHyperspectral imagingimagingspectral correlationCorrelationCFA demosaicking[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]020201 artificial intelligence & image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingImage color analysis010309 optics0103 physical sciencesoptical filtersArraysspatial images resolution[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingdiscrete wavelet transformbusiness.industryImage segmentationBinary treesDiscrete wavelet transformscolour filter arrayspectral analysisInterpolationdemosaickingFilter (video)Artificial intelligencebusinessimage resolution
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