Search results for "Waveform"

showing 10 items of 131 documents

Clustering of waveforms-data based on FPCA direction

2010

The necessity of nding similar features of waveforms data recorded for earthquakes at di erent time instants is here considered, since eventual similarity between these functions could suggest similar behavior of the source process of the corresponding earthquakes. In this paper we develop a clustering algorithm for curves based on directions de ned by an application of PCA to functional data.

FPCA clustering of curves waveformsSettore SECS-S/01 - Statistica
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Clustering of waveforms based on FPCA direction

2010

Looking for curves similarity could be a complex issue characterized by subjective choices related to continuous transformations of observed discrete data (Chiodi, 1989). Waveforms correlation techniques have been introduced to charac- terize the degree of seismic event similarity (Menke, 1999) and in facilitating more accurate relative locations within similar event clusters by providing more precise timing of seismic wave (P and S) arrivals (Phillips, 1997). In this paper functional analysis (Ramsey, and Silverman, 2006) is considered to highlight common characteristics of waveforms-data and to summarize these charac- teristics by few components, by applying a variant of a classical clust…

FPCA clustering of curves waveformsSettore SECS-S/01 - Statistica
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Functional Principal components direction to cluster earthquake waveforms

2010

Looking for curves similarity could be a complex issue characterized by subjective choices related to continuous transformations of observed discrete data (Chiodi, 1989). In this paper we combine the aim of finding clusters from a set of individual curves to the functional nature of data, applying a variant of a k-means algorithm based on the principal component rotation of data. We apply a classical clustering method to rotated data, according to the direction of maximum variance. A k-means clustering algorithm based on PCA rotation of data is proposed, as an alternative to methods that require previous interpolation of data based on splines or linear fitting (Garc´ıa- Escudero and Gordali…

FPCA waveforms clustering approachSettore SECS-S/01 - Statistica
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FPCA Algorithm For Waveform Clustering

2011

Similar features between waveform data recorded for earthquakes at different time instants could suggest similar behavior of the source process of the corresponding source seismic process. In this paper we combine the aim of finding clusters from a set of individual waveform curves with the functional nature of data, applying a variant of a k-means algorithm based on the principal component rotation of data. This approach overcome the limitation of the cross-correlation, and represents an alternative to methods based on the interpolation of data by splines or linear fitting.

FPCAclustering of curveswaveformsSettore SECS-S/01 - Statistica
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Comparison of spike parameters from optically identified GABAergic and glutamatergic neurons in sparse cortical cultures

2015

We are pleased to note that our publication “Comparison of spike parameters from optically identified GABAergic and glutamatergic neurons in sparse cortical cultures” by Weir et al. (2015) raised some discussion on the feasibility of solely electrophysiological discrimination of distinct neuronal subpopulations in vitro. We agree with Becchetti and Wanke (2015) that their report and our study on the same question were conducted with different technical approaches and that this may explain the observed differences between both studies. Although we obviously recorded a reduced spontaneous neuronal activity under our sparse culture conditions, these conditions were necessary to enable the uneq…

Fano factorinterneuronsGeneral Commentaryspike waveformimagingmulti-electrode arrayBiologynetwork activityInhibitory postsynaptic potentiallcsh:RC321-571Cellular and Molecular NeuroscienceElectrophysiologyGlutamatergicmedicine.anatomical_structureneuronal cultureSpike sortingmedicineExcitatory postsynaptic potentialPremovement neuronal activityNeuronlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeuroscienceNeuroscienceFrontiers in Cellular Neuroscience
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The Effects of Flow Waveform on Oxygenation in Pediatric Patients

2015

Flow waveformAnesthesiology and Pain MedicineText miningbusiness.industryAnesthesiaHumansMedicineAnesthesiaOxygenationbusinessRespiration ArtificialAnesthesia & Analgesia
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Simultaneous seismic wave clustering and registration

2012

In this paper we introduce a simple procedure to identify clusters of multivariate waveforms based on a simultaneous assignation and alignment procedure. This approach is aimed at the identification of clusters of earthquakes, assuming that similarities between seismic events with respect to hypocentral parameters and focal mechanism correspond to similarities between waveforms of events. Therefore we define a distance measure between seismic curves in R^d d>=1, in order to interpret and better understand the main features of the generating seismic process.

Focal mechanismMultivariate statisticsComputer sciencebusiness.industryFunctional clusteringCurve registration Waveform Palermo aftershocks sequenceProcess (computing)Pattern recognitionMeasure (mathematics)Seismic wavePhysics::GeophysicsIdentification (information)WaveformArtificial intelligenceComputers in Earth SciencesCluster analysisbusinessSettore SECS-S/01 - StatisticaSeismologyInformation Systems
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A New Dissimilarity Measure for Clustering Seismic Signals

2011

Hypocenter and focal mechanism of an earthquake can be determined by the analysis of signals, named waveforms, related to the wave field produced and recorded by a seismic network. Assuming that waveform similarity implies the similarity of focal parameters, the analysis of those signals characterized by very similar shapes can be used to give important details about the physical phenomena which have generated an earthquake. Recent works have shown the effectiveness of cross-correlation and/or cross-spectral dissimilarities to identify clusters of seismic events. In this work we propose a new dissimilarity measure between seismic signals whose reliability has been tested on real seismic dat…

Focal mechanismSimilarity (geometry)Cross-correlationHypocenterSettore INF/01 - InformaticaComputer sciencebusiness.industryHomogeneity (statistics)Pattern recognitioncomputer.software_genreMeasure (mathematics)Physics::GeophysicsSettore GEO/11 - Geofisica ApplicataWaveformArtificial intelligenceData miningbusinessCluster analysiscomputerDissimilarity measure Clustering Seismic Signals
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Focal waveforms with tunable carrier frequency using dispersive aperturing

2008

We introduce the concept of dispersive aperturing involving a beam truncation by hard-edge apertures where diameter of the processed beam changes upon frequency. Applied to focused waves, this procedure transforms power spectra at the focal point (and the surroundings). Waveforms at focus conserve pulse duration but carrier frequency may be altered substantially. In principle, some degrees of freedom allow carrier-frequency tuning at convenience.

Focal pointMaterials sciencebusiness.industryTruncationDegrees of freedom (statistics)Pulse durationAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsPower (physics)OpticsPhysics::Accelerator PhysicsWaveformElectrical and Electronic EngineeringPhysical and Theoretical ChemistryFocus (optics)businessBeam (structure)Optics Communications
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Improvement of Hall Effect Current Transducer Metrological Performances in the Presence of Harmonic Distortion

2010

The performance of Hall effect current transducers (HECTs), under distorted waveform conditions, is usually characterized by means of a frequency response test. In this paper, it was investigated if frequency response is able to correctly evaluate the ratio and the phase errors under distorted conditions. Two HECTs, with the accuracy class level of 1% and 0.5%, respectively, were experimentally characterized under two conditions: 1) sinusoidal excitation with frequencies ranging from 50 to 750 Hz, which is the well-known frequency response test, and 2) nonsinusoidal excitation using fundamental frequency and one harmonic with adjusted amplitude and phase shift. It was found that ratio and p…

Frequency responseElectric current measurementCurrent measurement current transducer frequency response hall effect devices harmonic distortion power system harmonics.AcousticsTransducersPhase (waves)GyratorsNon-sinusoidal excitationHarmonic distortionAccuracy levelFundamental frequenciesHarmonic analysisPhase errorElectric currentsError compensationFrequency responseFrequency response testsWaveformSinusoidal excitationsPhase shiftElectrical and Electronic EngineeringInstrumentationPhysicsTotal harmonic distortionElectric power distributionHall effectCurrent measurementsMetrological performanceCurrent transducerFundamental frequencyLight measurementAmplitudeAccuracy classHarmonicsMagnetic field effectsHarmonicHarmonic amplitudeSettore ING-INF/07 - Misure Elettriche E ElettronicheDistorted waveformsHarmonic componentsHall effect devicesIEEE Transactions on Instrumentation and Measurement
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