Search results for "Euclidean"

showing 10 items of 185 documents

An Embedded, FPGA-based Computer Graphics Coprocessor with Native Geometric Algebra Support

2009

The representation of geometric objects and their transformation are the two key aspects in computer graphics applications. Traditionally, computer-intensive matrix calculations are involved in modeling and rendering three-dimensional (3D) scenery. Geometric algebra (aka Clifford algebra) is attracting attention as a natural way to model geometric facts and as a powerful analytical tool for symbolic calculations. In this paper, the architecture of Clifford coprocessor (CliffoSor) is introduced. CliffoSor is an embedded parallel coprocessing core that offers direct hardware support to Clifford algebra operators. A prototype implementation on a programmable gate array (FPGA) board is detailed…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSpeedupCoprocessorComputer scienceClifford algebraParallel computingRendering (computer graphics)Computer graphicsGeometric algebraHardware and ArchitectureComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONElectrical and Electronic EngineeringClifford algebra Computational geometry Embedded coprocessors Application-specific processor FPGA-based prototypingField-programmable gate arraySoftwareEuclidean vector
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Speech Activity Detection under Adverse Noisy Conditions at Low SNRs

2021

Speech originating from the noisy environments degrades the speech quality and intelligibility, thus reducing the human perceived Quality of Experience (QoE). For example, surveillance using drone during natural catastrophe needs an efficient speech recognition device to recognise the speech of the frozen human in presence of drone noise to save their life. Therefore, it often requires to pre-process the noisy speech in order to reduce the noise artifacts and enhance the speech. This paper detects the speech activity using Voice Activity Detection (VAD). The VAD distinguishes speech activity (speech presence) and speech inactivity (silence/noise) by extracting the speech features and compar…

Speech enhancementEuclidean distanceNoiseVoice activity detectionNoise measurementComputer scienceSpeech recognitionFeature extractionSpectral centroidIntelligibility (communication)2021 6th International Conference on Communication and Electronics Systems (ICCES)
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Spatio‐temporal classification in point patterns under the presence of clutter

2019

We consider the problem of detection of features in the presence of clutter for spatio-temporal point patterns. In previous studies, related to the spatial context, Kth nearest-neighbor distances to classify points between clutter and features. In particular, a mixture of distributions whose parameters were estimated using an expectation-maximization algorithm. This paper extends this methodology to the spatio-temporal context by considering the properties of the spatio-temporal Kth nearest-neighbor distances. For this purpose, we make use of a couple of spatio-temporal distances, which are based on the Euclidean and the maximum norms. We show close forms for the probability distributions o…

Statistics and Probability010504 meteorology & atmospheric sciencesComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONContext (language use)01 natural sciences010104 statistics & probabilitySpatio-temporalpoint patternsClutterExpectation–maximization algorithmEuclidean geometryEarthquakesPoint (geometry)clutter earthquakes EM algorithm features mixtures nearest‐neighbor distances spatio‐temporal point patterns0101 mathematicsEM algorithmFeatures0105 earth and related environmental sciencesspatio-temporal point patternSpatial contextual awarenessEcological Modelingmixturenearest-neighbor distanceComputingMethodologies_PATTERNRECOGNITIONearthquakeMixturesProbability distributionClutterfeatureSettore SECS-S/01 - StatisticaclutterNearest-neighbor distancesAlgorithmEnvironmetrics
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Estimation of orientation characteristic of fibrous material

2001

A new statistical method for estimating the orientation distribution of fibres in a fibre process is suggested where the process is observed in the form of a degraded digital greyscale image. The method is based on line transect sampling of the image in a few fixed directions. A well-known method based on stereology is available if the intersections between the transects and fibres can be counted. We extend this to the case where, instead of the intersection points, only scaled variograms of grey levels along the transects are observed. The nonlinear estimation equations for a parametric orientation distribution as well as a numerical algorithm are given. The method is illustrated by a real…

Statistics and ProbabilityMathematical optimizationOrientation (computer vision)Applied Mathematics010102 general mathematicsGeometry01 natural sciencesGrayscaleIntersection (Euclidean geometry)010104 statistics & probabilityNonlinear systemDigital imageLine (geometry)0101 mathematicsTransectMathematicsParametric statisticsAdvances in Applied Probability
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Measure differential inclusions: existence results and minimum problems

2020

AbstractWe focus on a very general problem in the theory of dynamic systems, namely that of studying measure differential inclusions with varying measures. The multifunction on the right hand side has compact non-necessarily convex values in a real Euclidean space and satisfies bounded variation hypotheses with respect to the Pompeiu excess (and not to the Hausdorff-Pompeiu distance, as usually in literature). This is possible due to the use of interesting selection principles for excess bounded variation set-valued mappings. Conditions for the minimization of a generic functional with respect to a family of measures generated by equiregulated left-continuous, nondecreasing functions and to…

Statistics and ProbabilityNumerical AnalysisEuclidean spaceApplied MathematicsRegular polygonMeasure (mathematics)Differential inclusionSettore MAT/05 - Analisi MatematicaBounded variationTrajectoryApplied mathematicsGeometry and TopologyMinificationFocus (optics)Measure differential inclusion Bounded variation Pompeiu excess Selection Minimality conditionAnalysisMathematics
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Self-consistent Euclidean-random-matrix theory

2019

Statistics and ProbabilityPhysicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsSelf consistentsymbols.namesakeModeling and SimulationEuclidean geometrysymbolsBoson peakRayleigh scatteringRandom matrixMathematical PhysicsMathematical physicsJournal of Physics A: Mathematical and Theoretical
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On bounds for total absolute curvature of surfaces in hyperbolic 3-space

2003

Abstract We construct examples of surfaces in hyperbolic space which do not satisfy the Chern–Lashof inequality (which holds for immersed surfaces in Euclidean space). To cite this article: R. Langevin, G. Solanes, C. R. Acad. Sci. Paris, Ser. I 336 (2003).

Surface (mathematics)Differential geometryEuclidean spaceHyperbolic spaceMathematical analysisHyperbolic manifoldTotal curvatureGeneral MedicineCurvatureHyperbolic triangleMathematicsComptes Rendus Mathematique
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Isolated roundings and flattenings of submanifolds in Euclidean spaces

2005

We introduce the concepts of rounding and flattening of a smooth map $g$ of an $m$-dimensional manifold $M$ to the euclidean space $\R^n$ with $m<n$, as those points in $M$ such that the image $g(M)$ has contact of type $\Sigma^{m,\dots,m}$ with a hypersphere or a hyperplane of $\R^n$, respectively. This includes several known special points such as vertices or flattenings of a curve in $\R^n$, umbilics of a surface in $\R^3$, or inflections of a surface in $\R^4$.

Surface (mathematics)Euclidean spaceGeneral MathematicsImage (category theory)Mathematical analysisEuclidean distance matrixHypersphereType (model theory)53A05Manifoldheight function53A07CombinatoricsDistance from a point to a plane58K05Distance squared functionMathematicsTohoku Mathematical Journal
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Principal configurations and umbilicity of submanifolds in $\mathbb R^N$

2004

We consider the principal configurations associated to smooth vector fields $\nu$ normal to a manifold $M$ immersed into a euclidean space and give conditions on the number of principal directions shared by a set of $k$ normal vector fields in order to guaranty the umbilicity of $M$ with respect to some normal field $\nu$. Provided that the umbilic curvature is constant, this will imply that $M$ is hyperspherical. We deduce some results concerning binormal fields and asymptotic directions for manifolds of codimension 2. Moreover, in the case of a surface $M$ in $\mathbb R^N$, we conclude that if $N>4$, it is always possible to find some normal field with respect to which $M$ is umbilic and …

Surface (mathematics)Euclidean spaceGeneral MathematicsMathematical analysisOrder (ring theory)Vector fieldMathematics::Differential GeometryCodimensionCurvatureNormalManifoldMathematicsBulletin of the Belgian Mathematical Society - Simon Stevin
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Constant angle surfaces in 4-dimensional Minkowski space

2019

Abstract We first define a complex angle between two oriented spacelike planes in 4-dimensional Minkowski space, and then study the constant angle surfaces in that space, i.e. the oriented spacelike surfaces whose tangent planes form a constant complex angle with respect to a fixed spacelike plane. This notion is the natural Lorentzian analogue of the notion of constant angle surfaces in 4-dimensional Euclidean space. We prove that these surfaces have vanishing Gauss and normal curvatures, obtain representation formulas for the constant angle surfaces with regular Gauss maps and construct constant angle surfaces using PDE’s methods. We then describe their invariants of second order and show…

Surface (mathematics)Mathematics - Differential GeometryGauss mapPlane (geometry)Euclidean space53C40 53C42 53C50010102 general mathematicsMathematical analysisGeneral Physics and AstronomyTangentSpace (mathematics)01 natural sciencesDifferential Geometry (math.DG)0103 physical sciencesMinkowski spaceFOS: Mathematics010307 mathematical physicsGeometry and Topology0101 mathematicsConstant (mathematics)Mathematical PhysicsMathematics
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