Search results for "Telecommunication"

showing 10 items of 1769 documents

Iterative Reconstruction of Signals on Graph

2020

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.

Signal Processing (eess.SP)signal processing algorithmIterative methodComputer science02 engineering and technologyIterative reconstructionSettore MAT/08 - Analisi NumericaSettore MAT/05 - Analisi Matematica0202 electrical engineering electronic engineering information engineeringFOS: MathematicsFOS: Electrical engineering electronic engineering information engineeringsignal reconstructionMathematics - Numerical AnalysisElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal ProcessingSignal reconstructionApplied Mathematics020206 networking & telecommunicationsNumerical Analysis (math.NA)Graphspectral analysisGraph theoryRate of convergenceSignal ProcessingGraph (abstract data type)Algorithmsignal processing algorithmsInterpolation
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Particle Group Metropolis Methods for Tracking the Leaf Area Index

2020

Monte Carlo (MC) algorithms are widely used for Bayesian inference in statistics, signal processing, and machine learning. In this work, we introduce an Markov Chain Monte Carlo (MCMC) technique driven by a particle filter. The resulting scheme is a generalization of the so-called Particle Metropolis-Hastings (PMH) method, where a suitable Markov chain of sets of weighted samples is generated. We also introduce a marginal version for the goal of jointly inferring dynamic and static variables. The proposed algorithms outperform the corresponding standard PMH schemes, as shown by numerical experiments.

Signal processing010504 meteorology & atmospheric sciencesMarkov chainGeneralizationComputer scienceBayesian inferenceMonte Carlo method020206 networking & telecommunicationsMarkov chain Monte Carlo02 engineering and technologystate-space modelsTracking (particle physics)Bayesian inference01 natural sciencesParticle FilteringStatistics::Computationsymbols.namesake0202 electrical engineering electronic engineering information engineeringsymbolsParticle MCMCParticle filterMonte CarloAlgorithm0105 earth and related environmental sciences
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Cell-average WENO with progressive order of accuracy close to discontinuities with applications to signal processing

2020

In this paper we translate to the cell-average setting the algorithm for the point-value discretization presented in S. Amat, J. Ruiz, C.-W. Shu, D. F. Y\'a\~nez, A new WENO-2r algorithm with progressive order of accuracy close to discontinuities, submitted to SIAM J. Numer. Anal.. This new strategy tries to improve the results of WENO-($2r-1$) algorithm close to the singularities, resulting in an optimal order of accuracy at these zones. The main idea is to modify the optimal weights so that they have a nonlinear expression that depends on the position of the discontinuities. In this paper we study the application of the new algorithm to signal processing using Harten's multiresolution. Se…

Signal processing0209 industrial biotechnologyDiscretizationComputer science02 engineering and technologyClassification of discontinuitiesCell-averageMathematics::Numerical Analysis020901 industrial engineering & automationImproved adaption to discontinuitiesNew optimal weightsPosition (vector)Multiresolution schemesFOS: Mathematics0202 electrical engineering electronic engineering information engineeringMathematics - Numerical AnalysisSignal processingWENO65D05 65D17 65M06 65N0612 MatemáticasApplied MathematicsOrder of accuracyMatemática Aplicada020206 networking & telecommunicationsNumerical Analysis (math.NA)Expression (mathematics)Computational MathematicsNonlinear systemGravitational singularityAlgorithmApplied Mathematics and Computation
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Blind multi-user detection by fast fixed point algorithm without prior knowledge of symbol-level timing

2003

We consider the estimation of the source process of the desired user an the downlink of a code-division multiple access (CDMA) communication system. In downlink signal processing, only the code of the mobile telephone user is known, while the codes of the interfering users are unknown. Blind source separation or independent component analysis is an approach offering the solution to this problem. In this work we apply the fast fixed point algorithm to the separation problem. The algorithm is based on fourth-order statistics optimization. Knowledge about the symbol level timing has to be known only coarsely.

Signal processingCode division multiple accessComputer scienceReal-time computingTelecommunications linkComputer Science::Networking and Internet ArchitectureCode (cryptography)Detection theoryCommunications systemIndependent component analysisBlind signal separationComputer Science::Information TheoryProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99
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On the Fidelity of IEEE 802.11 commercial cards

2006

The IEEE 802.11 D CF protocol is known to be fair in terms of long-term resource repartition among the contending stations. However, when considering real scenarios, where commercial 802.11 cards interact, very unpredictable as well as sometimes surprising behaviors emerge. Motivation of this paper is to investigate the reasons of the very evident disagreement between the theoretical IEEE 802.11 DCF protocol models and its practical implementations. Inparticular, we try to characterize the card behavior not only in terms of perceived throughput, but also in terms of low-level channel access operations. In fact, the simple throughput analysis does not allow to identify what affecting paramet…

Signal processingCommunication channels (information theory); Internet; Signal processing; Wireless telecommunication systems; Baseband signals; Carrier sense function; MAC layer; Network protocolsComputer scienceMAC layerWireless local area networks (WLAN)backoff algorithmCommunication channels (information theory)IEEE 802.11Wireless telecommunication systemsNetwork protocolsThroughput (business)InternetBaseband signalsChannel allocation schemesSIMPLE (military communications protocol)Settore ING-INF/03 - Telecomunicazionibusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPhysical layerCarrier sense functionThroughputNetwork interface controllerEmbedded systemResource allocationbusinessComputer networkCommunication channel
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PHASER – A Phase-Shifting Antenna for Low-Power Directional Communication

2017

This paper describes the design and empirical evaluation of PHASER — a mote prototype for low-power directional communication in wireless sensor networks. PHASER has a modular design that includes three components: a low-power radio, an RF signal processing chip, and two off-the-shelf antennas. Directional communication is achieved by splitting the output signal from the low-power radio chip and controlling programmatically the phase of each signal as it transmitted to each antenna. The net effect of controlling the phase of the signals is that they generate patterns of constructive and destructive interference as signals propagate. PHASER is well-suited for wireless sensor networks as it d…

Signal processingComputer science020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyChipSignalPhaser0202 electrical engineering electronic engineering information engineeringElectronic engineeringRadio frequencyAntenna (radio)Wireless sensor networkEnergy (signal processing)2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS)
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Spectrum cartography using adaptive radial basis functions: Experimental validation

2017

In this paper, we experimentally validate the functionality of a developed algorithm for spectrum cartography using adaptive Gaussian radial basis functions (RBF). The RBF are strategically centered around representative centroid locations in a machine learning context. We assume no prior knowledge about neither the power spectral densities (PSD) of the transmitters nor their locations. Instead, the received signal power at each location is estimated as a linear combination of different RBFs. The weights of the RBFs, their Gaussian decaying parameters and locations are jointly optimized using expectation maximization with a least squares loss function and a quadratic regularizer. The perfor…

Signal processingComputer scienceGaussianCentroid020206 networking & telecommunicationsContext (language use)02 engineering and technologyComputer Science::Computational GeometryLeast squaresComputer Science::Numerical Analysissymbols.namesakeExpectation–maximization algorithm0202 electrical engineering electronic engineering information engineeringsymbolsRadial basis functionLinear combinationCartography
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Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix

2018

In this paper, we consider the case in which one needs to carry out Gabor analysis and synthesis on large signals using a short support analysis window and its corresponding, possibly longer canonical dual window, respectively. In this asymmetric context, we propose a novel factorization of the Gabor frame operator that exploits its strong and well-known structure and leads to a computational cost for synthesis, which is comparable to the one needed for short support analysis. The proposed factorization applies to any Gabor system with very mild conditions and leads to a potentially promising alternative to current synthesis algorithms in the case of short analysis windows whose support is …

Signal processingCurrent (mathematics)Computer science020206 networking & telecommunicationsContext (language use)010103 numerical & computational mathematics02 engineering and technology01 natural sciencesTime–frequency analysisMatrix decompositionMatrix (mathematics)Operator (computer programming)FactorizationSignal Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringAlgorithmIEEE Transactions on Signal Processing
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Route diversity analyses for free-space optical wireless links within turbulent scenarios

2013

Free-Space Optical (FSO) communications link performance is highly affected when propagating through the time-spatially variable turbulent environment. In order to improve signal reception, several mitigation techniques have been proposed and analytically investigated. This paper presents experimental results for the route diversity technique evaluations for a specific case when several diversity links intersects a common turbulent area and concurrently each passing regions with different turbulence flows.

Signal processingLightH600business.industryComputer scienceTurbulenceOptical communicationOptical DevicesModels TheoreticalÒpticaSignalAtomic and Molecular Physics and OpticsPhysics::Fluid DynamicsVariable (computer science)Route diversityOpticsTelecommunicationsElectronic engineeringOptical wirelessScattering RadiationComputer SimulationbusinessWireless TechnologyComunicació i tecnologiaFree-space optical communication
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Photonic fractional Fourier transformer with a single dispersive device

2013

In this work we used the temporal analog of spatial Fresnel diffraction to design a temporal fractional Fourier transformer with a single dispersive device, in this way avoiding the use of quadratic phase modulators. We demonstrate that a single dispersive passive device inherently provides the fractional Fourier transform of an incident optical pulse. The relationships linking the fractional Fourier transform order and scaling factor with the dispersion parameters are derived. We first provide some numerical results in order to prove the validity of our proposal, using a fiber Bragg grating as the dispersive device. Next, we experimentally demonstrate the feasibility of this proposal by us…

Signal processingMaterials scienceOptical fiberEspectroscòpia infraroja de transformada de FourierCiencias FísicasPhysics::OpticsFractional fourier transformFiber opticslaw.invention//purl.org/becyt/ford/1 [https]symbols.namesakeOpticsFiber Bragg gratinglawFiber Optic Technologysignal processingÓpticafiber opticsFourier Analysisbusiness.industryShort-time Fourier transformFísica//purl.org/becyt/ford/1.3 [https]Equipment DesignÒpticaAtomic and Molecular Physics and OpticsFractional Fourier transformFractional Fourier transformEquipment Failure AnalysisRefractometryFourier transformEnergy TransferFourier analysissymbolsTelecommunicationsComputer-Aided DesignPhotonicsbusinessCIENCIAS NATURALES Y EXACTASFresnel diffraction
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