Search results for "Correlation"

showing 10 items of 2282 documents

A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations

2017

In mobile-to-mobile (M2M) communication systems, both the transmitter and the receiver are moving with a certain velocity, which is usually assumed to be constant over time. However, in realistic propagation scenarios, the velocity of the mobile stations (MSs) is subject to changes resulting in a non-stationary fading process. In this paper, we develop a non-stationary narrow-band M2M multipath fading channel model, where the transmitter and the receiver experience changes in their velocities and trajectories. For this model, we derive expressions for the local autocorrelation function (ACF), the Wigner-Ville spectrum, the local average Doppler shift, and the local Doppler spread under isot…

Physicsbusiness.industryApplied MathematicsMathematical analysisTransmitterAutocorrelation020302 automobile design & engineering020206 networking & telecommunications02 engineering and technologyCommunications systemComputer Science ApplicationsTime–frequency analysissymbols.namesake0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringsymbolsTrajectoryComputer Science::Networking and Internet ArchitectureFadingElectrical and Electronic EngineeringTelecommunicationsbusinessDoppler effectMultipath propagationComputer Science::Information Theory
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New Development of Monte Carlo Techniques for Studying Bottle-brush Polymers

2011

Due to the complex characteristics of bottle-brush polymers, it became a challenge to develop an efficient algorithm for studying such macromolecules under various solvent conditions or some constraints in the space by using computer simulations. In the limit of a bottle-brush polymer with a rather stiff backbone (straight rigid backbone), we generalize the variant of the biased chain growth algorithm, the pruned-enriched Rosenbluth method, for simulating polymers with complex architecture, from star polymers to bottle-brush polymers, on the simple cubic lattice. With the high statistics of our Monte Carlo results, we check the theoretical predictions of side chain behavior and radial monom…

Physicschemistry.chemical_classificationQuantitative Biology::BiomoleculesScaling lawsAutocorrelationMonte Carlo methodFOS: Physical sciencesMonte Carlo methodsPolymerCondensed Matter - Soft Condensed MatterPhysics and Astronomy(all)GyrationBottle-brush polymersCondensed Matter::Soft Condensed Matterchemistry.chemical_compoundMonomerchemistryLattice (order)Side chainSoft Condensed Matter (cond-mat.soft)Statistical physicsStructuresMonte Carlo algorithm
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Scaling of non-Markovian Monte Carlo wave-function methods

2004

We demonstrate a scaling method for non-Markovian Monte Carlo wave-function simulations used to study open quantum systems weakly coupled to their environments. We derive a scaling equation, from which the result for the expectation values of arbitrary operators of interest can be calculated, all the quantities in the equation being easily obtainable from the scaled Monte Carlo simulations. In the optimal case, the scaling method can be used, within the weak coupling approximation, to reduce the size of the generated Monte Carlo ensemble by several orders of magnitude. Thus, the developed method allows faster simulations and makes it possible to solve the dynamics of the certain class of no…

PhysicsdynamicQuantum PhysicsQuantum Monte CarloMonte Carlo methodFOS: Physical sciences01 natural sciences010309 opticsHybrid Monte Carlo0103 physical sciencesDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsStatistical physicsQuasi-Monte Carlo methodsystem-environment correlations010306 general physicsQuantum Physics (quant-ph)environmentMonte Carlo molecular modeling
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RELIABILITY OF THE DETECTION OF THE BARYON ACOUSTIC PEAK

2008

The correlation function of the distribution of matter in the universe shows, at large scales, baryon acoustic oscillations, which were imprinted prior to recombination. This feature was first detected in the correlation function of the luminous red galaxies (LRG) of the Sloan Digital Sky Survey (SDSS). The final release (DR7) of the SDSS has been recently made available, and the useful volume is about two times bigger than in the old sample. We present here, for the first time, the redshift space correlation function of this sample at large scales together with that for one shallower, but denser volume-limited subsample drawn from the 2dF redshift survey. We test the reliability of the det…

Physicsmedia_common.quotation_subjectAstrophysics (astro-ph)FOS: Physical sciencesAstronomy and AstrophysicsAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsCorrelation function (astronomy)AstrophysicsRedshift surveyGalaxyRedshiftBaryonDistribution (mathematics)Space and Planetary ScienceSkyBaryon acoustic oscillationsAstrophysics::Galaxy Astrophysicsmedia_commonThe Astrophysical Journal
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Detection of ventricular fibrillation using the autocorrelation function analysis of the ECG

2003

A method is developed for the detection of ventricular fibrillation (VF) and life-threatening arrhythmias. The method is based on direct and simple peak analysis of the autocorrelation function (ACF). It can differentiate between VF (coarse and fine) and non-VH rhythms. ECG records during ventricular tachycardia (VT) and VF were obtained, and 4-s-long segments were digitized at 200 Hz and then split in three groups (VT, VF regular, and VF irregular). ACFs were computed, and positive peak P(j) (j=1, 2, . . .), RPL(j)=P(j)/2SE(1), TR(1)=P(1) width/lag P(1), and D(j)=P(j)-P(j+1) were measured and calculated for each sample. Results show that: (a) RPL(j)(j=1, 2, 3) together with D(j) present hi…

Physicsmedicine.medical_specialtyPeak analysismedicine.diagnostic_testInternal medicineAutocorrelationVentricular fibrillationCardiologymedicineVentricular tachycardiamedicine.diseaseElectrocardiographyImages of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society
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Master equation for cascade quantum channels: a collisional approach

2012

It has been recently shown that collisional models can be used to derive a general form for the master equations which describe the reduced time evolution of a composite multipartite quantum system, whose components "propagate" in an environmental medium which induces correlations among them via a cascade mechanism. Here we analyze the fundamental assumptions of this approach showing how some of them can be lifted when passing into a proper interaction picture representation.

Physicsopen quantum systems quantum correlation collision modelQuantum PhysicsOpen quantum systems dynamicTime evolutionQuantum channelsFOS: Physical sciencesCondensed Matter PhysicsAtomic and Molecular Physics and OpticsSettore FIS/03 - Fisica Della MateriaMultipartiteClassical mechanicsCascadeInteraction pictureMaster equationQuantum systemQuantum InformationRepresentation (mathematics)Quantum Physics (quant-ph)Quantum
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Dynamic Phase Diagram of the REM

2019

International audience; By studying the two-time overlap correlation function, we give a comprehensive analysis of the phase diagram of the Random Hopping Dynamics of the Random Energy Model (REM) on time-scales that are exponential in the volume. These results are derived from the convergence properties of the clock process associated to the dynamics and fine properties of the simple random walk in the $n$-dimensional discrete cube.

Physicsrandom environmentsspin glassesRandom energy model010102 general mathematicsagingrandom dynamicsSimple random sample01 natural sciencesLévy processclock processExponential function[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010104 statistics & probabilityCorrelation functionLévy processesConvergence (routing)Statistical physics0101 mathematicsCube[MATH]Mathematics [math]Phase diagram
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Corrigendum: Spectral Entropy Based Neuronal Network Synchronization Analysis Based on Microelectrode Array Measurements

2020

Physicsrat cortical cellsSpectral entropyspectral entropyNeuroscience (miscellaneous)developing neuronal networksMultielectrode arraylcsh:RC321-571Cellular and Molecular NeurosciencecorrelationSynchronization (computer science)Biological neural networkmouse cortical cellsBiological systemsynchronizationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryFrontiers in Computational Neuroscience
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Accurate Nonlinear Optical Properties for Small Molecules

2006

During the last decade it became possible to calculate by quantum chemical ab initio methods not only static but also frequency-dependent properties with high accuracy. Today, the most important tools for such calculations are coupled cluster response methods in combination with systematic hierarchies of correlation consistent basis sets. Coupled cluster response methods combine a computationally efficient treatment of electron correlation with a qualitatively correct pole structure and frequency dispersion of the response functions. Both are improved systematically within a hierarchy of coupled cluster models. The present contribution reviews recent advances in the highly accurate calculat…

Physicssymbols.namesakeCoupled clusterBasis (linear algebra)Electronic correlationFaraday effectsymbolsAb initioExtrapolationElectronic structureStatistical physicsBasis set
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Collective Excitations in Simple Liquids

2014

The dynamics of simple liquid is discussed by starting from the linearized Navier-Stokes equations. Using these equations expicit formulas for the density- and current-correlation functions are given. Mode-coupling theory is introduced, which gives a constitutive equation between the current-relaxation memory function and the density correlation function. This theory is shown to accurately describe the collective-excitation behavior of simple liquids like liquid metals.

Physics::Fluid DynamicsPhysicsClassical mechanicsCorrelation functionSimple (abstract algebra)Constitutive equationDynamics (mechanics)QuasiparticleFunction (mathematics)Structure factor
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