Search results for "Transform"

showing 10 items of 3975 documents

Kolmogorov Superposition Theorem and Wavelet Decomposition for Image Compression

2009

International audience; Kolmogorov Superposition Theorem stands that any multivariate function can be decomposed into two types of monovariate functions that are called inner and external functions: each inner function is associated to one dimension and linearly combined to construct a hash-function that associates every point of a multidimensional space to a value of the real interval $[0,1]$. These intermediate values are then associated by external functions to the corresponding value of the multidimensional function. Thanks to the decomposition into monovariate functions, our goal is to apply this decomposition to images and obtain image compression. We propose a new algorithm to decomp…

[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing010102 general mathematicsMathematical analysisWavelet transform02 engineering and technologyFunction (mathematics)[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSuperposition theorem01 natural sciencesWavelet packet decompositionWavelet[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Dimension (vector space)[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPoint (geometry)0101 mathematics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingImage compressionMathematics
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Roughness evaluation of vine leaf by image processing

2013

International audience; The study of leaf surface roughness is very important in the domain of precision spraying. It is one of the parameters that allow to reduce costs and losses of phytosanitary prod- ucts and to improve the spray accuracy. Moreover, the leaf roughness is related to adhesion mechanisms of liquid on a surface. It can be used to define leaf nature surface (hy- drophilic/hydrophobic). The main goal of this study is thus to estimate and to follow the evolution of leaf roughness using image processing and computer vision. The develop- ment and application of computer vision for measurement of surface leaf roughness using artificial neural networks will be described. The syste…

[ MATH ] Mathematics [math]0106 biological sciences0209 industrial biotechnologyScanning electron microscope[SDV]Life Sciences [q-bio]Computer Vision[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[MATH] Mathematics [math]02 engineering and technologySurface finishLeaf roughness01 natural sciences[PHYS] Physics [physics][SPI]Engineering Sciences [physics]020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ SPI ] Engineering Sciences [physics]Surface roughnessComputer vision[MATH]Mathematics [math]ComputingMilieux_MISCELLANEOUS[PHYS]Physics [physics][ PHYS ] Physics [physics]Artificial neural network[STAT]Statistics [stat]Multilayer perceptron[SDE]Environmental SciencesBiological system[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingMaterials science[ STAT ] Statistics [stat][INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SPI] Engineering Sciences [physics]IASTEDFast Fourier transformNeural NetworkImage processingImage processing[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyTexturelanguage technologies[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingPrecision agriculturebusiness.industry[STAT] Statistics [stat]Precision agricultureArtificial intelligencebusiness010606 plant biology & botany
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Darboux curves on surfaces I

2017

International audience; In 1872, G. Darboux defined a family of curves on surfaces of $\mathbb{R}^3$ which are preserved by the action of the Mobius group and share many properties with geodesics. Here, we characterize these curves under the view point of Lorentz geometry and prove that they are geodesics in a 3-dimensional sub-variety of a quadric $\Lambda^4$ contained in the 5-dimensional Lorentz space $\mathbb{R}^5_1$ naturally associated to the surface. We construct a new conformal object: the Darboux plane-field $\mathcal{D}$ and give a condition depending on the conformal principal curvatures of the surface which guarantees its integrability. We show that $\mathcal{D}$ is integrable w…

[ MATH ] Mathematics [math]GeodesicGeneral MathematicsDarboux frame02 engineering and technology01 natural sciencessymbols.namesakeMoving frame57R300202 electrical engineering electronic engineering information engineeringDarboux curves0101 mathematics[MATH]Mathematics [math]Möbius transformationMathematicsConformal geometryEuclidean spaceMSC: Primary 53A30 Secondary: 53C12 53C50 57R3053A3053C50010102 general mathematicsMathematical analysis53C12Ridge (differential geometry)Family of curvessymbolsSpace of spheres020201 artificial intelligence & image processingConformal geometry
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Categorical action of the extended braid group of affine type $A$

2017

Using a quiver algebra of a cyclic quiver, we construct a faithful categorical action of the extended braid group of affine type A on its bounded homotopy category of finitely generated projective modules. The algebra is trigraded and we identify the trigraded dimensions of the space of morphisms of this category with intersection numbers coming from the topological origin of the group.

[ MATH ] Mathematics [math]Pure mathematicsGeneral MathematicsCategorificationBraid groupGeometric intersection01 natural sciencesMathematics - Geometric TopologyMorphismMathematics::Category TheoryQuiverMathematics - Quantum Algebra0103 physical sciencesFOS: MathematicsQuantum Algebra (math.QA)Representation Theory (math.RT)0101 mathematics[MATH]Mathematics [math]MathematicsHomotopy categoryGroup (mathematics)Applied Mathematics010102 general mathematicsQuiverBraid groupsGeometric Topology (math.GT)16. Peace & justiceCategorificationCategorical actionBounded functionMSC: 20F36 18E30 57M99 13D99010307 mathematical physicsAffine transformationMathematics - Representation Theory
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Spectral approach to D-bar problems

2017

We present the first numerical approach to D-bar problems having spectral convergence for real analytic, rapidly decreasing potentials. The proposed method starts from a formulation of the problem in terms of an integral equation that is numerically solved with Fourier techniques. The singular integrand is regularized analytically. The resulting integral equation is approximated via a discrete system that is solved with Krylov methods. As an example, the D-bar problem for the Davey-Stewartson II equations is considered. The result is used to test direct numerical solutions of the PDE.© 2017 Wiley Periodicals, Inc.

[ MATH ] Mathematics [math]Spectral approachInverse conductivity problemBar (music)General MathematicsElectrical-impedance tomographyFOS: Physical sciences2 dimensions010103 numerical & computational mathematics01 natural sciencesDiscrete systemsymbols.namesakeConvergence (routing)FOS: MathematicsApplied mathematicsUniquenessStewartson-ii equationsMathematics - Numerical Analysis0101 mathematics[MATH]Mathematics [math]Electrical impedance tomographyReconstruction algorithmsNumerical-solutionMathematicsNonlinear Sciences - Exactly Solvable and Integrable SystemsApplied MathematicsNumerical Analysis (math.NA)Integral equation010101 applied mathematicsFourier transformsymbolsUniquenessExactly Solvable and Integrable Systems (nlin.SI)
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Automatic detection of P, QRS and T patterns in 12 leads ECG signal based on CWT

2016

International audience; In this paper, a new method based on the continuous wavelet transform is described in order to detect the QRS, P and T waves. QRS, P and T waves may be distinguished from noise, baseline drift or irregular heartbeats. The algorithm, described in this paper, has been evaluated using the Computers in Cardiology (CinC) Challenge 2011 database and also applied on the MIT-BIH Arrhythmia database (MITDB). The data from the CinC Challenge 2011 are standard 12 ECG leads recordings with full diagnostic bandwidth compared to the MITDB which only includes two leads for each ECG signal. Firstly, our algorithm is validated using fifty 12 leads ECG samples from the CinC collection…

[ MATH ] Mathematics [math][ INFO ] Computer Science [cs]Computer science0206 medical engineeringYouden's J statisticHealth Informatics[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyQRS[SPI]Engineering Sciences [physics]QRS complexT waveT waves0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][INFO]Computer Science [cs][MATH]Mathematics [math]wavelet transformContinuous wavelet transformECGPdelineationECGP waveWavelet transformP020601 biomedical engineering3. Good healthSignal Processing020201 artificial intelligence & image processingEcg leadEcg signalAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Contribution à l'estimation non paramétrique des quantiles géométriques et à l'analyse des données fonctionnelles

2008

In this dissertation we study the nonparametric geometric quantile estimation, conditional geometric quantiles estimation and functional data analysis. First, we are interested to the definition of geometric quantiles. Different simulations show that Transformation-Retransformation technique should be used to estimate geometric quantiles when the distribution is not spheric. A real study shows that, data are better modelized by geometric quantiles than by marginal one's, especially when variables that make up the random vector are correlated. Then we estimate geometric quantiles when data are obtained by survey sampling techniques. First, we propose an unbaised estimator, then using lineari…

[ MATH ] Mathematics [math]sondageinfluence function[MATH] Mathematics [math]\alpha-mixingTransformation-Retransformation\alpha -mélangeACP fonctionnellelinéarisationFunctional PCAQuantiles géométriquesfonction d'influenceGeometric quantilesconditional geometric quantiles[MATH]Mathematics [math]survey samplingquantiles géométriques conditionnelslinerization
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Asymptotics of accessibility sets along an abnormal trajectory

2001

We describe precisely, under generic conditions, the contact of the accessibility set at time $T$ with an abnormal direction, first for a single-input affine control system with constraint on the control, and then as an application for a sub-Riemannian system of rank 2. As a consequence we obtain in sub-Riemannian geometry a new splitting-up of the sphere near an abnormal minimizer $\gamma$ into two sectors, bordered by the first Pontryagin's cone along $\gamma$, called the $\xLinfty$-sector and the $\xLtwo$-sector. Moreover we find again necessary and sufficient conditions of optimality of an abnormal trajectory for such systems, for any optimization problem.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]0209 industrial biotechnologyControl and OptimizationOptimization problemRank (linear algebra)02 engineering and technologycontrol-affine systems01 natural sciencesSet (abstract data type)020901 industrial engineering & automationFOS: Mathematicssingular trajectories0101 mathematicsMathematics - Optimization and ControlMathematics010102 general mathematicsMathematical analysisConstraint (information theory)Computational MathematicsCone (topology)Optimization and Control (math.OC)Control and Systems EngineeringControl systemTrajectoryAffine transformation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
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Computation of conjugate times in smooth optimal control: the COTCOT algorithm

2006

Conjugate point type second order optimality conditions for extremals associated to smooth Hamiltonians are evaluated by means of a new algorithm. Two kinds of standard control problems fit in this setting: the so-called regular ones, and the minimum time singular single-input affine systems. Conjugate point theory is recalled in these two cases, and two applications are presented: the minimum time control of the Kepler and Euler equations.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Differential equationComputation010102 general mathematics05 social sciences050301 education[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC]Optimal control01 natural sciencesEuler equationssymbols.namesakesymbolsOrder (group theory)Point (geometry)Affine transformation[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]0101 mathematics0503 educationAlgorithmMathematicsConjugate
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On the high resolution spectroscopy and intramolecular potential function of SO2

2009

Abstract Two weak stretching bands, ν 1  + 3 ν 3 and 3 ν 1  +  ν 3 , of the sulfur dioxide molecule have been recorded at high resolution and analyzed for the first time with using a Fourier transform Bruker IFS-120 HR interferometer. About 1000 transitions with J max .  = 51, K a max . = 16 , and 900 transitions with J max .  = 53, K a max . = 16 have been assigned to the bands ν 1  + 3 ν 3 and 3 ν 1  +  ν 3 , respectively. Analysis of the recorded spectra was made using the model of isolated vibrational states. Parameters obtained from the fit reproduce the initial experimental ro-vibrational energies with the rms deviation of 0.0006 and 0.0012 cm −1 for the bands, 3 ν 1  +  ν 3 and ν 1  …

[ PHYS.QPHY ] Physics [physics]/Quantum Physics [quant-ph]Analytical chemistryHigh resolution02 engineering and technology01 natural sciencesSpectral linesymbols.namesakeNuclear magnetic resonance[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]High-resolution spectra0103 physical sciencesMoleculePhysical and Theoretical ChemistrySpectroscopySpectroscopyPhysics010304 chemical physicsPotential functionFunction (mathematics)Spectroscopic parameters021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsInterferometryFourier transformSulfur dioxideIntramolecular forcesymbols0210 nano-technology
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