Search results for "signal processing"

showing 10 items of 2451 documents

Observer-Based Stabilization of Stochastic Systems with Limited Communication

2012

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2012/781542 Open Access This paper studies the problem of observer-based stabilization of stochastic nonlinear systems with limited communication. A communication channel exists between the output of the plant and the input of the dynamic controller, which is considered network-induced delays, data packet dropouts, and measurement quantization. A new stability criterion is derived for the stochastic nonlinear system by using the Lyapunov functional approach. Based on this, the design procedure of observer-based controller is presented,which ensures asy…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Mathematical optimizationObserver (quantum physics)Article SubjectComputer scienceStability criterionGeneral Mathematicslimited communicationSeparation principleExponential stabilityControl theorydesign proceduredynamic controllerNetwork packetlcsh:MathematicsQuantization (signal processing)VDP::Technology: 500::Mechanical engineering: 570General EngineeringIllustrative examplesObserver (special relativity)lcsh:QA1-939Lyapunov functionalsdesign techniqueNonlinear systemlcsh:TA1-2040data packet dropoutlcsh:Engineering (General). Civil engineering (General)Mathematical Problems in Engineering
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Filtering for Discrete Fuzzy Stochastic Time-Delay Systems with Sensor Saturation

2013

Published version of an article from the journal: Mathematical Problems in Engineering. Also available from Hindawi: http://dx.doi.org/10.1155/2013/146325 This paper addresses the H-infinity filtering problem for discrete fuzzy stochastic systems with time-varying delay and sensor saturation. Random noise depending on state and external disturbance is also taken into account. A decomposition approach is employed to solve the characteristic of sensor saturation. The scaled small gain (SSG) theorem is extended to the stochastic systems, which is employed to handle with the time-varying delay by transforming the original system into the form of an interconnected system consisting of two subsys…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Stochastic stabilityArticle SubjectGeneral Mathematicslcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringFilter (signal processing)Function (mathematics)State (functional analysis)lcsh:QA1-939Fuzzy logicControl theorylcsh:TA1-2040Filtering problemDecomposition (computer science)Saturation (chemistry)lcsh:Engineering (General). Civil engineering (General)MathematicsMathematical Problems in Engineering
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Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes

2010

Accepted version of an article published in the journal: Pattern Recognition. Published version on Sciverse: http://dx.doi.org/10.1016/j.patcog.2010.01.018 Linear dimensionality reduction (LDR) techniques have been increasingly important in pattern recognition (PR) due to the fact that they permit a relatively simple mapping of the problem onto a lower-dimensional subspace, leading to simple and computationally efficient classification strategies. Although the field has been well developed for the two-class problem, the corresponding issues encountered when dealing with multiple classes are far from trivial. In this paper, we argue that, as opposed to the traditional LDR multi-class schemes…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413business.industryVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422Dimensionality reductionDecision treePattern recognitionBayes classifierLinear discriminant analysisLinear subspaceWeightingArtificial IntelligenceSignal ProcessingPairwise comparisonComputer Vision and Pattern RecognitionArtificial intelligencebusinessAlgorithmSoftwareSubspace topologyMathematics
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Spectral adaptation of hyperspectral flight lines using VHR contextual information

2014

Abstract: Due to technological constraints, hyperspectral earth observation imagery are often a mosaic of overlapping flight lines collected in different passes over the area of interest. This causes variations in aqcuisition conditions such that the reflected spectrum can vary significantly between these flight lines. Partly, this problem is solved by atmospherical correction, but residual spectral differences often remain. A probabilistic domain adaptation framework based on graph matching using Hidden Markov Random Fields was recently proposed for transforming hyperspectral data from one image to better correspond to the other. This paper investigates the use of scale and angle invariant…

VHR imageryHyperspectral imaginggraph matchingComputer sciencebusiness.industrydomain adaptationPhysicsHyperspectral imagingPattern recognitionFilter (signal processing)Rendering (computer graphics)Computer Science::Computer Vision and Pattern RecognitionFull spectral imagingtextural featuresComputer visionArtificial intelligenceHidden Markov random fieldHidden Markov modelbusiness
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Josephson Traveling Wave Parametric Amplifiers as Non-Classical Light Source for Microwave Quantum Illumination

2021

Abstract Detection of low-reflectivity objects can be enriched via the so-called quantum illumination procedure. In order that this quantum procedure outperforms classical detection protocols, entangled states of microwave radiation are initially required. In this paper, we discuss the role of Josephson Traveling Wave Parametric Amplifiers (JTWPAs), based on circuit-QED components, as suitable sources of a two-mode squeezed vacuum state, a special signal-idler entangled state. The obtained wide bandwidth makes the JTWPA an ideal candidate for generating quantum radiation in quantum metrology and information processing applications.

Vacuum stateMicrowave quantum illumination Josephson traveling wave parametric amplifiers Entangled quantum states Detection probability improvementFOS: Physical sciencesElectric apparatus and materials. Electric circuits. Electric networksSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing EngineeringSettore FIS/03 - Fisica Della MateriaSuperconductivity (cond-mat.supr-con)OpticsJosephson traveling wave parametric amplifiersDetection probability improvement Entangled quantum states Josephson traveling wave parametric amplifiersMicrowave quantum illuminationQuantum metrologyMicrowave quantum illuminationElectrical and Electronic EngineeringTK452-454.4QuantumParametric statisticsPhysicsDetection probability improvementQuantum Physicsbusiness.industryAmplifierCondensed Matter - SuperconductivityBandwidth (signal processing)Entangled quantum statesElectronic Optical and Magnetic MaterialsMechanics of MaterialsQuantum illuminationbusinessQuantum Physics (quant-ph)Microwave
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Exploiting Valve Timing for Pneumatic Energy Savings

2018

This research paper aims at addressing solutions that reduce air consumption in generic pneumatic systems used for pick-and-place operations. The investigation considers different system architectures both with a single control valve and two control valves arranged according to an independent metering configuration. Suitable control strategies are then proposed exploiting multiple timings to shut off the non-proportional switching valve(s). The resulting scenarios are experimentally evaluated on a dedicated test-bed. The main conclusion is that reduction of air consumption up to 73% is possible in comparison to the state-of-the-art layout for the reference application. Numerical simulations…

Valve timingDynamic modelsComputer scienceSystems architectureAutomotive engineeringEnergy (signal processing)BATH/ASME 2018 Symposium on Fluid Power and Motion Control
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Soft variable structure controller design for singular systems

2015

Abstract A novel soft variable structure control (SVSC) scheme is addressed for a class of singular systems under I-controllable in this paper. The structural features of SVSC with differential equations are investigated. The stability of singular systems based on SVSC scheme is guaranteed by an equivalent characterization theory, and then a soft variable structure controller is designed. The concrete algorithm of SVSC with differential equations is proposed. The developed SVSC law for singular systems is carried out for the purpose of achieving rapid regulative rate, and shortening arrival time. Moreover, system chattering can be attenuated in the process of approaching to the equilibrium …

Variable structure controlVariable (computer science)Computer Networks and CommunicationsControl and Systems EngineeringControl theoryThermodynamic equilibriumDifferential equationApplied MathematicsSignal ProcessingStructure (category theory)Process (computing)Stability (probability)MathematicsJournal of the Franklin Institute
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Video Streaming Distribution in VANETs

2011

Streaming applications will rapidly develop and contribute a significant amount of traffic in the near future. A problem, scarcely addressed so far, is how to distribute video streaming traffic from one source to all nodes in an urban vehicular network. This problem significantly differs from previous work on broadcast and multicast in ad hoc networks because of the highly dynamic topology of vehicular networks and the strict delay requirements of streaming applications. We present a solution for intervehicular communications, called Streaming Urban Video (SUV), that 1) is fully distributed and dynamically adapts to topology changes, and 2) leverages the characteristics of streaming applica…

Vehicular ad hoc networkMulticastComputer sciencebusiness.industryWireless ad hoc networkDistributed computingTopology (electrical circuits)Video streaming in vehicular networksNetwork topologymyMedComputational Theory and MathematicsHardware and ArchitectureSignal Processinggraph coloringVideo streaming in vehicular networks; graph coloring; VANETs; myMedVideo streamingVANETsbusinessComputer network
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Subcutaneous veins detection and backprojection method using Frangi vesselness filter

2015

Blood vessels detection is a common task performed in numerous medical procedures. During regular medical treatments venipuncture procedures are performed for invasive medication and blood sampling. Near infrared imaging technology can be used to visualize the subcutaneous veins in cases of difficult venous access. In this paper the methods for veins centerline detection and back projection is presented. In order to highlight the suitable veins for venipuncture, the centerline of larger veins are detected and back projected to the original image. The method is applied on the near infrared images of subjects selected from four different classes of skin tone. This can be helpful to medical st…

VenipunctureMedical staffbusiness.industryFilter (signal processing)Skin toneImage segmentationmedicine.anatomical_structurecardiovascular systemMedical imagingmedicineComputer visionArtificial intelligencebusinessVeinBlood samplingBiomedical engineering2015 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)
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2021

Abstract Reliable patient-specific ventricular repolarization times (RTs) can identify regions of functional block or afterdepolarizations, indicating arrhythmogenic cardiac tissue and the risk of sudden cardiac death. Unipolar electrograms (UEs) record electric potentials, and the Wyatt method has been shown to be accurate for estimating RT from a UE. High-pass filtering is an important step in processing UEs, however, it is known to distort the T-wave phase of the UE, which may compromise the accuracy of the Wyatt method. The aim of this study was to examine the effects of high-pass filtering, and improve RT estimates derived from filtered UEs. We first generated a comprehensive set of UE…

Ventricular RepolarizationRadiological and Ultrasound TechnologyArtificial neural networkComputer sciencebusiness.industryHealth InformaticsPattern recognitionFilter (signal processing)Computer Graphics and Computer-Aided Design030218 nuclear medicine & medical imagingProbabilistic estimation03 medical and health sciences0302 clinical medicineTime estimationApproximation errorSignificant errorRepolarizationRadiology Nuclear Medicine and imagingComputer Vision and Pattern RecognitionArtificial intelligencebusiness030217 neurology & neurosurgeryMedical Image Analysis
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