Search results for "signal processing"

showing 10 items of 2451 documents

Some Afterthoughts on Hopfield Networks

1999

In the present paper we investigate four relatively independent issues, which complete our knowledge regarding the computational aspects of popular Hopfield nets. In Section 2 of the paper, the computational equivalence of convergent asymmetric and Hopfield nets is shown with respect to network size. In Section 3, the convergence time of Hopfield nets is analyzed in terms of bit representations. In Section 4, a polynomial time approximate algorithm for the minimum energy problem is shown. In Section 5, the Turing universality of analog Hopfield nets is studied. peerReviewed

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESQuantitative Biology::Neurons and CognitionComputer scienceParallel algorithmHopfield netsApproximation algorithmSection (fiber bundle)Hopfield networknetworksHopfieldAlgorithmTime complexityEquivalence (measure theory)Energy (signal processing)
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Automata and forbidden words

1998

Abstract Let L ( M ) be the (factorial) language avoiding a given anti-factorial language M . We design an automaton accepting L ( M ) and built from the language M . The construction is effective if M is finite. If M is the set of minimal forbidden words of a single word ν, the automaton turns out to be the factor automaton of ν (the minimal automaton accepting the set of factors of ν). We also give an algorithm that builds the trie of M from the factor automaton of a single word. It yields a nontrivial upper bound on the number of minimal forbidden words of a word.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Büchi automaton0102 computer and information sciences02 engineering and technologyω-automaton01 natural sciencesTheoretical Computer ScienceCombinatoricsDeterministic automaton0202 electrical engineering electronic engineering information engineeringTwo-way deterministic finite automatonNondeterministic finite automatonMathematicsPowerset constructionLevenshtein automaton020206 networking & telecommunicationsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematicsSignal ProcessingProbabilistic automatonComputer Science::Programming LanguagesComputer Science::Formal Languages and Automata TheoryInformation Systems
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Implementation on NI-SOM sbRIO-9651 and Experimental Validation of Multi-Carrier PWM Techniques for Three-Phase Five Level Cascaded H-Bridge Inverter

2021

Multilevel Power Inverters (MPIs) represent a valid solution to improve the performances of energy production systems from renewable energy sources. Furthermore, the use of novel FPGA control systems allows simplifying the implementation of multicarrier PWM techniques for MPIs with computational benefits. This paper describes the implementation of several multicarrier PWM techniques on NI-SOM sbRIO-9651 for the control of a three-phase five-level cascaded H-bridge inverter. In detail, sbRIO-9651 is a control system in the field of Power Electronics and Drives (PED) programmable in the LabVIEW graphical programming environment. The paper is focused on modulation techniques implementation, te…

Three-phaseComputer scienceFPGA Labview Multicarrier PWM techniques Multilevel power converter sbRIO-9651Control systemPower electronicsElectronic engineeringInverterSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciField-programmable gate arrayEnergy (signal processing)Pulse-width modulationPower (physics)
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A method for the time-varying nonlinear prediction of complex nonstationary biomedical signals

2009

A method to perform time-varying (TV) nonlinear prediction of biomedical signals in the presence of nonstationarity is presented in this paper. The method is based on identification of TV autoregressive models through expansion of the TV coefficients onto a set of basis functions and on k -nearest neighbor local linear approximation to perform nonlinear prediction. The approach provides reasonable nonlinear prediction even for TV deterministic chaotic signals, which has been a daunting task to date. Moreover, the method is used in conjunction with a TV surrogate method to provide statistical validation that the presence of nonlinearity is not due to nonstationarity itself. The approach is t…

Time FactorsComputer scienceSpeech recognitionChaoticBiomedical EngineeringBasis functionModels BiologicalSurrogate dataYoung AdultHeart RatePredictive Value of TestsNonstationary signalHumansComputer SimulationEEGPredictabilitySignal processingNonlinear dynamicElectroencephalographySignal Processing Computer-AssistedComplexityLocal nonlinear predictionNonlinear systemNonlinear DynamicsAutoregressive modelData Interpretation StatisticalSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear approximationSurrogate dataAlgorithmHeart rate variability (HRV)Algorithms
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Visual data mining with self-organising maps for ventricular fibrillation analysis

2012

Detection of ventricular fibrillation (VF) at an early stage is being deeply studied in order to lower the risk of sudden death and allows the specialist to have greater reaction time to give the patient a good recovering therapy. Some works are focusing on detecting VF based on numerical analysis of time-frequency distributions, but in general the methods used do not provide insight into the problem. However, this study proposes a new methodology in order to obtain information about this problem. This work uses a supervised self-organising map (SOM) to obtain visually information among four important groups of patients: VF (ventricular fibrillation), VT (ventricular tachycardia), HP (healt…

Time FactorsDatabases FactualHealth InformaticsSelf organising mapsVentricular tachycardiaSudden deathElectrocardiographySurface ecgData visualizationHeart RatemedicineData MiningHumansbusiness.industrySignal Processing Computer-AssistedPattern recognitionmedicine.diseaseComputer Science ApplicationsVariable (computer science)Ventricular FibrillationVentricular fibrillationTachycardia VentricularNeural Networks ComputerNoise (video)Artificial intelligencebusinessAlgorithmsSoftwareComputer Methods and Programs in Biomedicine
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Acoustic methods for measuring the porosities of porous materials incorporating dead-end pores

2013

International audience; The acoustic properties of porous materials containing dead-end (DE) pores have been proposed by Dupont et al. [J. Appl. Phys. 110, 094903 (2011)]. In the theoretical description, two physical parameters were defined (the dead-end porosity and the average length of the dead-end pores). With the knowledge of the open porosity (measured with non-acoustic methods), and the measurement of kinematic porosity (also called the Biot porosity in this article), it is possible to deduce the dead-end porosity. Two acoustic methods for measuring the Biot porosity for a wide range of porosities are proposed. These methods are based on acoustic transmission and on the low and high …

Time FactorsMaterials scienceAcoustics and Ultrasonics02 engineering and technologyLow frequency01 natural sciencesMotionViscosityBiot porosityArts and Humanities (miscellaneous)0103 physical sciencesPressureComputer SimulationUltrasonicsTransmission coefficientComposite materialPorosity010301 acoustics[ PHYS.MECA.ACOU ] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph][SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Biot numberViscosity[ SPI.ACOU ] Engineering Sciences [physics]/Acoustics [physics.class-ph]transmission tubeReproducibility of ResultsSignal Processing Computer-AssistedAcousticsEquipment DesignModels Theoretical021001 nanoscience & nanotechnology[PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]SoundUltrasonic sensorPhase velocity0210 nano-technologyPorous mediumPorosityporous materials
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Biologically inspired information processing and synchronization in ensembles of non-identical threshold-potential nanostructures.

2013

Nanotechnology produces basic structures that show a significant variability in their individual physical properties. This experimental fact may constitute a serious limitation for most applications requiring nominally identical building blocks. On the other hand, biological diversity is found in most natural systems. We show that reliable information processing can be achieved with heterogeneous groups of non-identical nanostructures by using some conceptual schemes characteristic of biological networks (diversity, frequency-based signal processing, rate and rank order coding, and synchronization). To this end, we simulate the integrated response of an ensemble of single-electron transisto…

Time FactorsTransistors ElectronicScienceMaterials ScienceMonte Carlo methodSynchronizationMaterial by AttributeSet (abstract data type)BiomimeticsImage Processing Computer-AssistedNanotechnologyBiologyNanomaterialsComputational NeurosciencePhysicsCoding MechanismsSignal processingMultidisciplinaryQInformation processingRComputational BiologySignal Processing Computer-AssistedSensory SystemsNanostructuresBionanotechnologyElectronic MaterialsProbability distributionMedicineBiological systemMonte Carlo MethodRealization (systems)Biological networkResearch ArticleBiotechnologyNeurosciencePLoS ONE
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Analytical solution for the magneto-electro-elastic bimorph beam forced vibrations problem

2009

Based on the Timoshenko beam theory and on the assumption that the electric and magnetic fields can be treated as steady, since elastic waves propagate very slowly with respect to electromagnetic ones, a general analytical solution for the transient analysis of a magneto-electro-elastic bimorph beam is obtained. General magneto-electric boundary conditions can be applied on the top and bottom surfaces of the beam, allowing us to study the response of the bilayer structure to electromagnetic stimuli. The model reveals that the magneto-electric loads enter the solution as an equivalent external bending moment per unit length and as time-dependent mechanical boundary conditions through the def…

Timoshenko beam theoryPhysicsSmart structures bimorph magneto-electro-elasticityBimorphStiffnessMechanicsCondensed Matter PhysicsAtomic and Molecular Physics and Opticsfree and forced vibrationanalytical solutionClassical mechanicsMechanics of MaterialsElectromagnetismBending stiffnessSignal ProcessingmedicineBending momentGeneral Materials ScienceBoundary value problemElectrical and Electronic Engineeringmedicine.symptomSettore ING-IND/04 - Costruzioni E Strutture AerospazialiBeam (structure)magneto-electro-elastic bimorph beamCivil and Structural Engineering
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Depth profiling of Al2O3 + TiO2 nanolaminates by means of a time-of-flight energy spectrometer

2011

Atomic layer deposition (ALD) is currently a widespread method to grow conformal thin films with a sub-nm thickness control. By using ALD for nanolaminate oxides, it is possible to fine tune the electrical, optical and mechanical properties of thin films. In this study the elemental depth profiles and surface roughnesses were determined for Al2O3 + TiO2 nanolaminates with nominal single-layer thicknesses of 1, 2, 5, 10 and 20 nm and total thickness between 40 nm and 60 nm. The depth profiles were measured by means of a time-of-flight elastic recoil detection analysis (ToF-ERDA) spectrometer recently installed at the University of Jyväskylä. In TOF-E measurements 63Cu, 35Cl, 12C and 4He ions…

ToF-ERDANuclear and High Energy Physicsdepth profilingMaterials scienceSpectrometerta114business.industryAnalytical chemistryERDIonTotal thicknessElastic recoil detectionTime of flightAtomic layer depositionnanolaminateAl2O3 and TiO2ALDOptoelectronicsThin filmbusinessInstrumentationEnergy (signal processing)
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Blind Radio Tomography

2018

From the attenuation measurements collected by a network of spatially distributed sensors, radio tomography constructs spatial loss fields (SLFs) that quantify absorption of radiofrequency waves at each location. These SLFs can be used for interference prediction in (possibly cognitive) wireless communication networks, for environmental monitoring or intrusion detection in surveillance applications, for through-the-wall imaging, for survivor localization after earthquakes or fires, etc. The cornerstone of radio tomography is to model attenuation as the bidimensional integral of the SLF of interest scaled by a weight function. Unfortunately, existing approaches (i) rely on heuristic assumpti…

Tomographic reconstructionbusiness.industryComputer scienceAttenuationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications02 engineering and technologyInterference (wave propagation)Signal Processing0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingTomographyElectrical and Electronic EngineeringbusinessAlgorithmRadio tomography
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