Search results for "Gaussian"

showing 10 items of 652 documents

Design of efficient codes for the AWGN channel based on decomposable binary lattices

1998

This work is concerned with the use of binary decomposable lattice codes over the QAM Gaussian channel. First, we investigate the structure of such class of lattices: we derive consistency conditions for the binary codes appearing in their decomposition and express their nominal coding gain and some bounds for their error coefficient in terms of the parameters of the component codes. Then we describe a general multistage bounded‐distance decoding algorithm with low complexity and we evaluate its performance. Finally, we develop a design example and report the corresponding simulation results; as a reference some comparisons with standard TCM codes are also presented.

Block codeTheoretical computer scienceApplied MathematicsConcatenated error correction codeBinary numberLinear codeCoding gainComputer Science Applicationssymbols.namesakeAdditive white Gaussian noiseComputational Theory and MathematicssymbolsBinary codeElectrical and Electronic EngineeringAlgorithmDecoding methodsMathematics
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Optimal Sampling Period and Required Number of Samples for OSTBC-MIMO Rayleigh Fading Channel Capacity Simulators

2014

The purpose of this paper is to contribute to the performance assessment of channel capacity simulators. Here, we consider the instantaneous capacity (also referred to as the mutual information) in orthogonal space-time block code (OSTBC) transceiver systems over multiple-input multiple-output (MIMO) Rayleigh fading channels. To ensure that the level-crossing rate (LCR) of the instantaneous capacity can efficiently and accurately be simulated, we derive closed-form approximate solutions to the optimal sampling period and the required number of samples to be generated. Several numerical examples will be presented to illustrate the usefulness of our procedure. It will also be shown that the d…

Block codesymbols.namesakeSpatial correlationChannel capacityControl theoryMIMOsymbolsMutual informationTransceiverGaussian processComputer Science::Information TheoryRayleigh fadingMathematics2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)
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Learning to Navigate in the Gaussian Mixture Surface

2021

In the last years, deep learning models have achieved remarkable generalization capability on computer vision tasks, obtaining excellent results in fine-grained classification problems. Sophisticated approaches based-on discriminative feature learning via patches have been proposed in the literature, boosting the model performances and achieving the state-of-the-art over well-known datasets. Cross-Entropy (CE) loss function is commonly used to enhance the discriminative power of the deep learned features, encouraging the separability between the classes. However, observing the activation map generated by these models in the hidden layer, we realize that many image regions with low discrimin…

Boosting (machine learning)Settore INF/01 - InformaticaComputer scienceGeneralizationbusiness.industryDeep learningGaussianFine-grained image classification; Loss functionPattern recognitionConvolutional neural networkLoss functionImage (mathematics)symbols.namesakeFine-grained image classificationDiscriminative modelSettore MAT/05 - Analisi MatematicasymbolsArtificial intelligencebusinessFeature learning
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Monogamy Inequality for Distributed Gaussian Entanglement

2007

We show that for all n-mode Gaussian states of continuous variable systems, the entanglement shared among n parties exhibits the fundamental monogamy property. The monogamy inequality is proven by introducing the Gaussian tangle, an entanglement monotone under Gaussian local operations and classical communication, which is defined in terms of the squared negativity in complete analogy with the case of n-qubit systems. Our results elucidate the structure of quantum correlations in many-body harmonic lattice systems.

CONTINUOUS VARIABLE SYSTEMSGaussianFOS: Physical sciencesGeneral Physics and AstronomyQuantum entanglementSquashed entanglementTanglesymbols.namesakeLattice (order)Quantum mechanicsStatistical physicsQuantumCondensed Matter - Statistical MechanicsMathematical PhysicsMathematicsQuantum PhysicsLOCCStatistical Mechanics (cond-mat.stat-mech)Mathematical Physics (math-ph)QUBITSMonotone polygonSTATESCRITERIONsymbolsQuantum Physics (quant-ph)Optics (physics.optics)Physics - OpticsPhysical Review Letters
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A global Canopy Water Content product from AVHRR/Metop

2020

Abstract Spatially and temporally explicit canopy water content (CWC) data are important for monitoring vegetation status, and constitute essential information for studying ecosystem-climate interactions. Despite many efforts there is currently no operational CWC product available to users. In the context of the Satellite Application Facility for Land Surface Analysis (LSA-SAF), we have developed an algorithm to produce a global dataset of CWC based on data from the Advanced Very High Resolution Radiometer (AVHRR) sensor on board Meteorological–Operational (MetOp) satellites forming the EUMETSAT Polar System (EPS). CWC reflects the water conditions at the leaf level and information related …

Canopy010504 meteorology & atmospheric sciencesMean squared errorAdvanced very-high-resolution radiometerCanopy Water Content (CWC)0211 other engineering and technologiesGaussian Process Regression (GPR)FOS: Physical sciencesContext (language use)02 engineering and technologyAVHRR/MetOp01 natural sciencesComputers in Earth SciencesEngineering (miscellaneous)Water content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingVegetation15. Life on landAtomic and Molecular Physics and OpticsComputer Science ApplicationsPhysics - Atmospheric and Oceanic PhysicsMODIS13. Climate actionEUMETSAT Polar System (EPS)Atmospheric and Oceanic Physics (physics.ao-ph)Spatial ecologyEnvironmental scienceSatelliteSentinel-2
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Numerical and experimental verification of a technique for locating a fatigue crack on beams vibrating under Gaussian excitation

2007

The stationary vibrations of a beam excited by Gaussian noise are strongly affected by the presence of a fatigue crack. Indeed, as soon as the crack arises the system response becomes non-linear due to crack breathing and a non-Gaussian behaviour is encountered. The paper presents both numerical and experimental investigations in order to assess the capability of the non-Gaussianity measures to detect crack presence and position. Monte Carlo method is applied to evaluate in time domain the higher order statistics of a cantilever beam modelled by finite elements. The skewness coefficient of the rotational degrees of freedom appears the most suitable quantity for identification purpose being …

Cantileverbusiness.industryMechanical EngineeringGaussianMonte Carlo methodMechanicsStructural engineeringFinite element methodsymbols.namesakeMechanics of MaterialsGaussian noisesymbolsGaussian functionGeneral Materials ScienceRandom vibrationbusinessBeam (structure)Mathematics
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A new Framework for the Spectral Information Decomposition of Multivariate Gaussian Processes

2021

: Different information-theoretic measures are available in the literature for the study of pairwise and higher-order interactions in multivariate dynamical systems. While these measures operate in the time domain, several physiological and non-physiological systems exhibit a rich oscillatory content that is typically analyzed in the frequency domain through spectral and cross-spectral approaches. For Gaussian systems, the relation between information and spectral measures has been established considering coupling and causality measures, but not for higher-order interactions. To fill this gap, in this work we introduce an information-theoretic framework in the frequency domain to quantify t…

CausalityTime-frequency analysisTime series analysisRedundancyGaussian processesTime measurementPhysiologyElectroencephalographySettore ING-INF/06 - Bioingegneria Elettronica E InformaticaNormal DistributionHumansSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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An extension of the censored gaussian lasso estimator

2019

The conditional glasso is one of the most used estimators for inferring genetic networks. Despite its diffusion, there are several fields in applied research where the limits of detection of modern measurement technologies make the use of this estimator theoretically unfounded, even when the assumption of a multivariate Gaussian distribution is satisfied. In this paper we propose an extension to censored data.

Censored data Censored glasso estimator Gaussian graphical model glasso estimator.Settore SECS-S/01 - Statistica
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Analog joint source-channel Multiple Description coding scheme over AWGN parallel channels

2011

We propose a low complexity analog joint source channel coding Multiple Description (MD) scheme for transmitting the symbols of a Gaussian source across a pair of independent AWGN channels. The outputs of these channels have each a separated receiver, whereas a third receiver has both outputs available. At the transmitter side, a pair of bandwidth-reduction analog mappings are used for joint source-channel coding. The presented scheme has the inherent advantage over digital MD schemes based on separation, that coding and decoding can be performed by using a single-letter (or symbol), a strategy that is very suitable for applications where latency originated by the digital compression and th…

Channel codeTheoretical computer scienceComputer scienceMultiple description codingVariable-length codeData_CODINGANDINFORMATIONTHEORYsymbols.namesakeShannon–Fano codingAdditive white Gaussian noisesymbolsAlgorithmDecoding methodsComputer Science::Information TheoryCommunication channelData compression2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Probabilistic response of nonlinear systems under combined normal and Poisson white noise via path integral method

2011

In this paper the response in terms of probability density function of nonlinear systems under combined normal and Poisson white noise is considered. The problem is handled via a Path Integral Solution (PIS) that may be considered as a step-by-step solution technique in terms of probability density function. A nonlinear system under normal white noise, Poissonian white noise and under the superposition of normal and Poisson white noise is performed through PIS. The spectral counterpart of the PIS, ruling the evolution of the characteristic functions is also derived. It is shown that at the limit when the time step becomes an infinitesimal quantity an equation ruling the evolution of the pro…

Characteristic function (probability theory)Stochastic resonanceMechanical EngineeringMathematical analysisShot noiseAerospace EngineeringOcean EngineeringStatistical and Nonlinear PhysicsProbability density functionWhite noiseCondensed Matter PhysicsPoisson distributionsymbols.namesakeNormal white noise Poisonian white noise combined white noisesAdditive white Gaussian noiseNuclear Energy and EngineeringGaussian noisesymbolsSettore ICAR/08 - Scienza Delle CostruzioniCivil and Structural EngineeringMathematics
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