Search results for "Euler's formula"

showing 10 items of 21 documents

An algebraic continuous time parameter estimation for a sum of sinusoidal waveform signals

2016

In this paper, a novel algebraic method is proposed to estimate amplitudes, frequencies, and phases of a biased and noisy sum of complex exponential sinusoidal signals. The resulting parameter estimates are given by original closed formulas, constructed as integrals acting as time-varying filters of the noisy measured signal. The proposed algebraic method provides faster and more robust results, compared with usual procedures. Some computer simulations illustrate the efficiency of our method. Copyright © 2016 John Wiley & Sons, Ltd.

0209 industrial biotechnologyMathematical optimizationNoise (signal processing)020206 networking & telecommunications02 engineering and technologySignalsymbols.namesake020901 industrial engineering & automationAmplitudeSine waveControl and Systems EngineeringSinusoidal waveformSignal Processing0202 electrical engineering electronic engineering information engineeringEuler's formulasymbolsApplied mathematicsDifferential algebraElectrical and Electronic EngineeringAlgebraic numberMathematicsInternational Journal of Adaptive Control and Signal Processing
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Algebraic parameter estimation of a multi-sinusoidal waveform signal from noisy data

2013

International audience; In this paper, we apply an algebraic method to estimate the amplitudes, phases and frequencies of a biased and noisy sum of complex exponential sinusoidal signals. Let us stress that the obtained estimates are integrals of the noisy measured signal: these integrals act as time-varying filters. Compared to usual approaches, our algebraic method provides a more robust estimation of these parameters within a fraction of the signal's period. We provide some computer simulations to demonstrate the efficiency of our method.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingControl theory[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringFraction (mathematics)Algebraic numberNoisy data[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsEstimation theory020206 networking & telecommunicationsAmplitudeSinusoidal waveformEuler's formulasymbols[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Algebraic parameter estimation of a biased sinusoidal waveform signal from noisy data

2012

International audience; The amplitude, frequency and phase of a biased and noisy sum of two complex exponential sinusoidal signals are estimated via new algebraic techniques providing a robust estimation within a fraction of the signal period. The methods that are popular today do not seem able to achieve such performances. The efficiency of our approach is illustrated by several computer simulations.

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingPhase (waves)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalsymbols.namesake020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering0202 electrical engineering electronic engineering information engineeringElectronic engineeringFraction (mathematics)Differential algebraAlgebraic numberMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingEstimation theory020206 networking & telecommunicationsAmplitudeEuler's formulasymbols[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithm[INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering
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CY-Operators and L-Functions

2019

This a write up of a talk given at the MATRIX conference at Creswick in 2017 (to be precise, on Friday, January 20, 2017). It reports on work in progress with P. Candelas and X. de la Ossa. The aim of that work is to determine, under certain conditions, the local Euler factors of the L-functions of the fibres of a family of varieties without recourse to the equations of the varieties in question, but solely from the associated Picard–Fuchs equation.

AlgebraWork (thermodynamics)symbols.namesakeMatrix (mathematics)Euler's formulasymbolsWork in processMathematics
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Minimal Morse flows on compact manifolds

2006

Abstract In this paper we prove, using the Poincare–Hopf inequalities, that a minimal number of non-degenerate singularities can be computed in terms only of abstract homological boundary information. Furthermore, this minimal number can be realized on some manifold with non-empty boundary satisfying the abstract homological boundary information. In fact, we present all possible indices and types (connecting or disconnecting) of singularities realizing this minimal number. The Euler characteristics of all manifolds realizing this minimal number are obtained and the associated Lyapunov graphs of Morse type are described and shown to have the lowest topological complexity.

Discrete mathematicsLyapunov functionTopological complexityBoundary (topology)Type (model theory)Morse codeManifoldLyapunov graphslaw.inventionsymbols.namesakePoincaré–Hopf inequalitieslawEuler's formulasymbolsGravitational singularityGeometry and TopologyMathematics::Symplectic GeometryConley indexMathematicsTopology and its Applications
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A new Euler–Mahonian constructive bijection

2011

AbstractUsing generating functions, MacMahon proved in 1916 the remarkable fact that the major index has the same distribution as the inversion number for multiset permutations, and in 1968 Foata gave a constructive bijection proving MacMahon’s result. Since then, many refinements have been derived, consisting of adding new constraints or new statistics.Here we give a new simple constructive bijection between the set of permutations with a given number of inversions and those with a given major index. We introduce a new statistic, mix, related to the Lehmer code, and using our new bijection we show that the bistatistic (mix,INV) is Euler–Mahonian. Finally, we introduce the McMahon code for …

Discrete mathematicsMultisetMathematics::CombinatoricsApplied MathematicsMajor indexMajor indexConstructiveCombinatoricssymbols.namesakeConstructive bijectionLehmer codeBijectionEuler's formulasymbolsInversion numberDiscrete Mathematics and CombinatoricsPermutation (bi)statisticStatisticMathematicsDiscrete Applied Mathematics
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A Vector Approach to Euler's Line of a Triangle

1992

Among the many interesting properties that triangles possess there is one that quickly attracts our curiosity and stays easily in our mind: The centroid, circumcentre and orthocentre all lie in a common line (Euler's Line). An elementary simple proof can be obtained using metric and affine properties of the points involved, [1]. Our aim here is to illustrate a proof using vectors. We identify points in the plane with their position vectors. It is easy to see that the centroid G of the triangle ABC is given by the identity

Discrete mathematicsPlane (geometry)General MathematicsCentroidTopologysymbols.namesakeIdentity (mathematics)Simple (abstract algebra)Line (geometry)Metric (mathematics)Euler's formulasymbolsAffine transformationMathematicsThe American Mathematical Monthly
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Zero Viscosity Limit for Analytic Solutions, of the Navier-Stokes Equation on a Half-Space.¶I. Existence for Euler and Prandtl Equations

1998

This is the first of two papers on the zero-viscosity limit for the incompressible Navier-Stokes equations in a half-space. In this paper we prove short time existence theorems for the Euler and Prandtl equations with analytic initial data in either two or three spatial dimensions. The main technical tool in this analysis is the abstract Cauchy-Kowalewski theorem. For the Euler equations, the projection method is used in the primitive variables, to which the Cauchy-Kowalewski theorem is directly applicable. For the Prandtl equations, Cauchy-Kowalewski is applicable once the diffusion operator in the vertical direction is inverted.

Laplace's equationIndependent equationSemi-implicit Euler methodPrandtl numberMathematical analysisMathematics::Analysis of PDEsStatistical and Nonlinear PhysicsBackward Euler methodEuler equationsPhysics::Fluid DynamicsEuler methodsymbols.namesakeEuler's formulasymbolsMathematical PhysicsMathematicsCommunications in Mathematical Physics
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Zero Viscosity Limit for Analytic Solutions of the Navier-Stokes Equation on a Half-Space.¶ II. Construction of the Navier-Stokes Solution

1998

This is the second of two papers on the zero-viscosity limit for the incompressible Navier-Stokes equations in a half-space in either 2D or 3D. Under the assumption of analytic initial data, we construct solutions of Navier-Stokes for a short time which is independent of the viscosity. The Navier-Stokes solution is constructed through a composite asymptotic expansion involving the solutions of the Euler and Prandtl equations, which were constructed in the first paper, plus an error term. This shows that the Navier-Stokes solution goes to an Euler solution outside a boundary layer and to a solution of the Prandtl equations within the boundary layer. The error term is written as a sum of firs…

Laplace's equationPrandtl numberMathematical analysisMathematics::Analysis of PDEsCharacteristic equationStatistical and Nonlinear PhysicsStokes flowPhysics::Fluid Dynamicssymbols.namesakeBoundary layerNonlinear systemStokes' lawEuler's formulasymbolsMathematical PhysicsMathematicsCommunications in Mathematical Physics
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The Application of CFD Methods for Modeling of a Three-Phase Fixed-Bed Reactor

2018

The mathematical model of the three-phase fixed-bed reactor (TBR) consisting of the continuity equation, the momentum balances of each phase and mass balances of reaction mixture components were presented and discussed. These balances are the result of averaging by means of Euler’s procedure and form the basis of the Computational Fluid Dynamics (CFD). Although the CFD model is based on fundamental principles some empirical relations (closure lows) must be implemented into the momentum balance in order to ensure a proper description of the dynamics of very complex three-phase system. Therefore, the sensitivity of a multiphase CFD model with respect to relations defining drag forces between …

Materials sciencePlug flowbusiness.industry02 engineering and technologyMechanicsComputational fluid dynamics021001 nanoscience & nanotechnologyPhysics::Fluid DynamicsMomentumsymbols.namesake020401 chemical engineeringContinuity equationClosure (computer programming)Three-phaseDragEuler's formulasymbols0204 chemical engineering0210 nano-technologybusiness
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