Search results for "Wave"

showing 10 items of 6009 documents

Multiscale Granger causality analysis by à trous wavelet transform

2017

Since interactions in neural systems occur across multiple temporal scales, it is likely that information flow will exhibit a multiscale structure, thus requiring a multiscale generalization of classical temporal precedence causality analysis like Granger's approach. However, the computation of multiscale measures of information dynamics is complicated by theoretical and practical issues such as filtering and undersampling: to overcome these problems, we propose a wavelet-based approach for multiscale Granger causality (GC) analysis, which is characterized by the following properties: (i) only the candidate driver variable is wavelet transformed (ii) the decomposition is performed using the…

Computer scienceGeneralization0206 medical engineering02 engineering and technology01 natural sciencesQuantitative Biology - Quantitative MethodsCausality (physics)WaveletGranger causality0103 physical sciencesTime seriesElectrical and Electronic Engineering010306 general physicsInstrumentationbusiness.industryWavelet transformPattern recognitionFilter (signal processing)multiscale analysi020601 biomedical engineeringUndersamplingscalp EEGQuantitative Biology - Neurons and CognitionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityWavelet transformArtificial intelligencebusiness
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Impact of Spreading Factor Imperfect Orthogonality in LoRa Communications

2017

In this paper we study the impact of imperfect-orthogonality in LoRa spreading factors (SFs) in simulation and real-world experiments. First, we analyze LoRa modulation numerically and show that collisions between packets of different SFs can indeed cause packet loss if the interference power received is strong enough. Second, we validate such findings using commercial devices, confirming our numerical results. Third, we modified and extended LoRaSim, an open-source LoRa simulator, to measure the impact of inter-SF collisions and fading (which was not taken into account previously in the simulator). Our results show that non-orthogonality of the SFs can deteriorate significantly the perform…

Computer scienceNetwork packetSettore ING-INF/03 - Telecomunicazioni05 social sciencesinterference020206 networking & telecommunications02 engineering and technologyInterference (wave propagation)Antenna diversityLoRaPower (physics)OrthogonalityPacket loss0502 economics and businessModulation (music)0202 electrical engineering electronic engineering information engineeringspreading factorFadingAlgorithm050203 business & management
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RF-Based Human Activity Recognition: A Non-stationary Channel Model Incorporating the Impact of Phase Distortions

2019

This paper proposes a non-stationary channel model that captures the impact of the time-variant (TV) phase distortion caused by hardware imperfections. The model allows for studying the spectrogram of in-home radio channels influenced by walking activities of the home user under realistic non-stationary propagation conditions. The resolution of the spectrogram is investigated for the von-Mises distribution of the phase distortion. It is shown that high-entropy distributions considerably mask fingerprints of the user activity on the spectrogram of the channel. For an orthogonal frequency-division multiplexing (OFDM) system, a computationally simple method for mitigating the undesired phase r…

Computer scienceOrthogonal frequency-division multiplexing0206 medical engineeringPhase distortionPhase (waves)020206 networking & telecommunications02 engineering and technology020601 biomedical engineeringMultiplexingActivity recognitionComputer Science::Sound0202 electrical engineering electronic engineering information engineeringElectronic engineeringSpectrogramRadio frequencyCommunication channel
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SINR analysis of OFDM systems using a geometry-based underwater acoustic channel model

2015

The Doppler effect is caused by the relative movement between the transmitter (Tx) and the receiver (Rx) and/or the surface motion (waves) in underwater acoustic (UWA) communication systems. The inter-channel interference (ICI) caused by the Doppler effect degrades the performance of orthogonal frequency-division multiplexing (OFDM) systems over UWA channels. This paper is devoted to the ICI plus noise analysis of UWA-OFDM systems over a geometry-based channel model for shallow UWA channels. We carry out the exact calculation of the ICI power, ambient noise power, and required transmit power, as well as their effects on the performance of UWA-OFDM systems. The signal-to-interference ratio (…

Computer scienceOrthogonal frequency-division multiplexingBandwidth (signal processing)Ambient noise levelTransmitterSignal-to-interference-plus-noise ratioGeometryTransmitter power outputInterference (wave propagation)Multiplexingsymbols.namesakeSignal-to-noise ratiosymbolsDoppler effectCommunication channel2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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Multi-level optimization of a fiber transmission system via nonlinearity management

2006

Nonlinearity management is explored as a complete tool to obtain maximum transmission reach in a WDM fiber transmission system, making it possible to optimize multiple system parameters, including optimal dispersion pre-compensation, with fast simulations based on the continuous-wave approximation. © 2006 Optical Society of America.

Computer sciencePhysics::OpticsPolarization-maintaining optical fiber02 engineering and technology01 natural sciencesGraded-index fiber[PHYS.PHYS.PHYS-AO-PH] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]010309 optics020210 optoelectronics & photonicsOpticsWavelength-division multiplexing0103 physical sciencesDispersion (optics)0202 electrical engineering electronic engineering information engineeringFiber optic splitterDispersion-shifted fiberSpontaneous emissionPlastic optical fiber[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Mode volumecomputer simulation; nonlinear control systems; optimizationbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSSingle-mode optical fiberNonlinear opticsTransmission systemAtomic and Molecular Physics and OpticsFiber-optic communication[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Raman amplifiersTransmission (telecommunications)Fiber optic sensorbusiness
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A spatial algorithm to reduce phase wraps from two dimensional signals in fringe projection profilometry

2016

© 2015 Elsevier Ltd. All rights reserved. In this paper, we present a novel algorithm to reduce the number of phase wraps in two dimensional signals in fringe projection profilometry. The technique operates in the spatial domain, and achieves a significant computational saving with regard to existing methods based on frequency shifting. The method works by estimating the modes of the first differences distribution in each axial direction. These are used to generate a tilted plane, which is subtracted from the entire phase map. Finally, the result is re-wrapped to obtain a phase map with fewer wraps. The method may be able to completely eliminate the phase wraps in many cases, or can achieve…

Computer sciencePlane (geometry)TKMechanical EngineeringPhase (waves)02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesSignalAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials010309 opticsReduction (complexity)symbols.namesakeDistribution (mathematics)Fringe projection profilometryFourier analysisFrequency domain0103 physical sciencessymbolsElectrical and Electronic Engineering0210 nano-technologyAlgorithmQCOptics and Lasers in Engineering
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CovSel

2018

Ensemble methods combine the predictions of a set of models to reach a better prediction quality compared to a single model's prediction. The ensemble process consists of three steps: 1) the generation phase where the models are created, 2) the selection phase where a set of possible ensembles is composed and one is selected by a selection method, 3) the fusion phase where the individual models' predictions of the selected ensemble are combined to an ensemble's estimate. This paper proposes CovSel, a selection approach for regression problems that ranks ensembles based on the coverage of adequately estimated training points and selects the ensemble with the highest coverage to be used in th…

Computer scienceProcess (computing)Phase (waves)Genetic programming02 engineering and technology01 natural sciencesEnsemble learningSet (abstract data type)010104 statistics & probability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPoint (geometry)0101 mathematicsSymbolic regressionAlgorithmSelection (genetic algorithm)Proceedings of the Genetic and Evolutionary Computation Conference
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The RFID technology for neurosciences: feasibility of limbs' monitoring in sleep diseases.

2009

This contribution investigates the feasibility of the passive UHF RF identification technology for the wireless monitoring of human body movements in some common sleep disorders by means of passive tags equipped with inertial switches. Electromagnetic and mechanical models as well as preliminary experimentations are introduced to analyze all the significant issues concerning the required power, the tag antenna design, the read distance, and the expected biosignals collected by the interrogation device.

Computer scienceRemote patient monitoringRadio WavesPolysomnographytag antennaRFID sensor Human health monitoringAccelerometerRF identification (RFID)MotionRestless Legs SyndromemedicineWirelessHumansTelemetryaccelerometer; RF identification (RFID); sensor network; sleep disorder; tag antennaElectrical and Electronic Engineeringsensor networksleep disorderSleep disorderbusiness.industrySettore ING-INF/02 - Campi ElettromagneticiExtremitiesGeneral MedicineModels Theoreticalmedicine.diseaseComputer Science ApplicationsNocturnal Myoclonus SyndromeaccelerometerRadio frequencySleep (system call)TelecommunicationsbusinessWireless sensor networkComputer hardwareAlgorithmsBiotechnologyIEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
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An innovative mechanical motion converter for sea wave applications

2018

The paper shows an innovative system designed and developed by University of Palermo. The device is based on a simple mechanical converter able to transform a variable bidirectional linear motion into a unidirectional rotary motion. This technology can be successful used in sea wave applications, producing a mechanical output usable for the electrical energy production.

Computer scienceRenewable Energy Sustainability and the Environment020209 energyElectric potential energyRotation around a fixed axisMechanical engineeringSea Wave02 engineering and technologyLinear Rotary ConverterSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciUSableMotion (physics)Linear motionPoint AbsorberAutomotive Engineering0202 electrical engineering electronic engineering information engineering
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Steerable wavelet transform for atlas based retinal lesion segmentation

2013

International audience; Computer aided diagnosis and follow up can help in prevention and treatment of diabetes and its related complications. Screening of diabetes related disease in the eyes is done by a special low cost fundus camera. A follow up of the patients visiting at di fferent time intervals for screening brings us to the problem of image analysis for change detection and its cost per patient. It is very likely that human annotations for the lesions may be erroneous and often time consuming. Since the ethnic background plays a signi cant role in retinal pigment epithelium, visibility of the choroidal vasculature and overall retinal luminance in patients and retinal images, an eth…

Computer scienceRetinal lesionImage processing[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]LuminanceFundus camera030218 nuclear medicine & medical imaging03 medical and health scienceschemistry.chemical_compound0302 clinical medicine[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]medicineSegmentationComputer visionRetinaRetinal pigment epitheliumDiabetic Retinopathybusiness.industryAtlas (topology)Atals segmentationWavelet transform[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]RetinalDiabetic retinopathymedicine.diseaseSteerable filtersmedicine.anatomical_structurechemistryComputer-aided diagnosis030221 ophthalmology & optometryRetinal ImageArtificial intelligencebusinessChange detection
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