Search results for "time-frequency"

showing 10 items of 25 documents

Oscillatory Dynamics Underlying Perceptual Narrowing of Native Phoneme Mapping from 6 to 12 Months of Age

2016

During the first months of life, human infants process phonemic elements from all languages similarly. However, by 12 months of age, as language-specific phonemic maps are established, infants respond preferentially to their native language. This process, known as perceptual narrowing, supports neural representation and thus efficient processing of the distinctive phonemes within the sound environment. Although oscillatory mechanisms underlying processing of native and non-native phonemic contrasts were recently delineated in 6-month-old infants, the maturational trajectory of these mechanisms remained unclear. A group of typically developing infants born into monolingual English families, …

MaleAgingmedicine.medical_specialtysource localizationSpeech perceptionFirst languageperceptual narrowingAudiologyAuditory cortexSemanticsLanguage Development050105 experimental psychologyDevelopmental psychology03 medical and health sciencesvärähtelyt0302 clinical medicineBiological ClocksGamma RhythmmedicinePerceptual narrowingGamma RhythmHumans0501 psychology and cognitive sciencesTheta RhythmResearch ArticlesLanguageAuditory Cortextime-frequency analysesinfantsGeneral Neuroscience05 social sciencesInfantSemanticsphonemic mappingLanguage developmentEvoked Potentials AuditorySpeech PerceptionFemaleSyllablePsychology030217 neurology & neurosurgeryThe Journal of Neuroscience
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Statistical analysis techniques for Partial Discharges measurement under DC voltage

2022

Partial discharges (PD) phenomenon for HVAC (High-Voltage-Alternating-Current) systems has already been widely studied in literature and from this it has been possible to produce a regulatory document that provides indications for description and identification of the different types of discharges. However, the growing diffusion of HVDC (High-Voltage-Direct-Current) systems makes necessary the development of analysis techniques also for DC case. In this paper data obtained from PD measurement under DC voltage were analyzed through the time-frequency map combined with a density-based clustering algorithm. The results show that, with this approach, it's possible to perform a noise rejection a…

Density-Based ClusteringSettore ING-IND/31 - ElettrotecnicaHVDCPartial Discharge (PD)Time-Frequency map2022 IEEE 4th International Conference on Dielectrics (ICD)
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Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition

2020

The waveform in the time domain, spectrum in the frequency domain, and topography in the space domain of component(s) of interest are the fundamental indices in neuroscience research. Despite the application of time–frequency analysis (TFA) to extract the temporal and spectral characteristics of non-phase-locked component (NPLC) of interest simultaneously, the statistical results are not always expectedly satisfying, in that the spatial information is not considered. Complex Morlet wavelet transform is widely applied to TFA of event-related-potential (ERP) data, and mother wavelet (which should be firstly defined by center frequency and bandwidth (CFBW) before using the method to TFA of ERP…

tensor decompositionmother waveletnon-phase lockedtime-frequency analysisERP
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Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials

2017

Time-frequency (TF) analysis of event-related potentials (ERPs) using Complex Morlet Wavelet Transform has been widely applied in cognitive neuroscience research. It has been widely suggested that the center frequency (fc) and bandwidth (σ) should be considered in defining the mother wavelet. However, the issue how parametric variation of fc and σ of Morlet wavelet transform exerts influence on ERPs time-frequency results has not been extensively discussed in previous research. The current study, through adopting the method of Complex Morlet Continuous Wavelet Transform (CMCWT), aims to investigate whether time-frequency results vary with different parametric settings of fc and σ. Besides, …

Discrete wavelet transformcomplex morlet wavelet transformbandwidthbusiness.industrySpeech recognitionPattern recognitionevent-related potentialsWavelet packet decompositioncenter frequencyWaveletTime–frequency representationMorlet wavelettime-frequency representationArtificial intelligencebusinessContinuous wavelet transformConstant Q transformMathematicsParametric statistics
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One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals

2021

Deep learning for the automated detection of epileptic seizures has received much attention during recent years. In this work, one dimensional convolutional neural network (1D-CNN) and two dimensional convolutional neural network (2D-CNN) are simultaneously used on electroencephalogram (EEG) data for seizure detection. Firstly, using sliding windows without overlap on raw EEG to obtain the definite one-dimension time EEG segments (1D-T), and continuous wavelet transform (CWT) for 1D-T signals to obtain the two-dimension time-frequency representations (2D-TF). Then, 1D-CNN and 2D-CNN model architectures are used on 1D-T and 2D-TF signals for automatic classification, respectively. Finally, t…

convolutional neural networks (CNN)Computer scienceseizure detection02 engineering and technologyneuroverkotElectroencephalographyConvolutional neural network0202 electrical engineering electronic engineering information engineeringmedicineEEGContinuous wavelet transformSignal processingArtificial neural networkmedicine.diagnostic_testbusiness.industryelectroencephalogram (EEG)signaalinkäsittelyDeep learningtime-frequency representationtideep learningsignaalianalyysi020206 networking & telecommunicationsPattern recognitionkoneoppiminenBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinessepilepsia
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Boundedness and compactness of operators related to time-frequency analysis

2018

En esta tesis, estudiamos diferentes aspectos de los operadores relacionados con el análisis tiempo-frecuencia. Cada operador lineal y continuo de la clase de Schwartz en su dual, el espacio de distribuciones temperadas, se puede escribir como un operador integral con núcleo K, o también como un operador integral de Fourier (de hecho, pseudodiferencial). Las diferentes condiciones en el núcleo o el símbolo y la fase (en el caso de los operadores integrales de Fourier) permiten extender el operador a varios espacios de funciones y distribuciones. A continuación detallamos los contenidos de la memoria. En el primer capítulo presentamos la notación, las definiciones de algunos espacios, de suc…

Time-frequency analysisFourier integral operatorsGabor Frames:MATEMÁTICAS::Análisis y análisis funcional [UNESCO]UNESCO::MATEMÁTICAS::Análisis y análisis funcional
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Analyzing multidimensional movement interaction with generalized cross-wavelet transform

2021

Humans are able to synchronize with musical events whilst coordinating their movements with others. Interpersonal entrainment phenomena, such as dance, involve multiple body parts and movement directions. Along with being multidimensional, dance movement interaction is plurifrequential, since it can occur at different frequencies simultaneously. Moreover, it is prone to nonstationarity, due to, for instance, displacements around the dance floor. Various methodological approaches have been adopted for the study of human entrainment, but only spectrogram-based techniques allow for an integral analysis thereof. This article proposes an alternative approach based upon the cross-wavelet transfor…

FOS: Computer and information sciencesDanceComputer sciencetanssiMovementBiophysicsmusiikkiWavelet AnalysisExperimental and Cognitive PsychologyTranslation (geometry)sosiaalinen vuorovaikutus050105 experimental psychologyEntrainmentMethodology (stat.ME)03 medical and health sciences0302 clinical medicinerytmitajuHumans0501 psychology and cognitive sciencesOrthopedics and Sports MedicineliikeanalyysiStatistics - MethodologyMovement (music)signaalinkäsittely05 social sciencesJoint actionGeneral MedicineliikeEntrainment (biomusicology)Time–frequency analysisDyadic interactionTime-frequency analysisDyadic interactionLeader-follower dynamicsSpectrogramsynkronointiAlgorithmRotation (mathematics)030217 neurology & neurosurgery
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Time - frequency analysis in an open - air theater

2005

Acoustics measurements have been carried out along the steps of an ancient open-air theater. Source positions were fixed in several points in the orchestra while microphones, radially placed, were rotated sector by sector, spatially sampling the cavea. Measurements analysis allowed some speech and music sound quality index calculation for each source-microphone couple. Moving from the observation of acoustic quality indexes a time-frequency analysis of impulse response is presented in this paper. Timefrequency analysis of impulse response gives hints for new considerations about the sound field in this peculiar environment.

time-frequency analysiopen-air theater
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Diagnosis of mechanical unbalance for double cage induction motor load in time-varying conditions based on motor vibration signature analysis

2013

This paper investigates the detectability of mechanical unbalance in double cage induction motor load using motor vibration signature analysis technique. Rotor imbalances induce specific harmonic components in electrical, electromagnetical, and mechanical quantities. Harmonic components characteristic of this category of rotor faults, issued from vibration signals analysis, are closely related to rotating speed of the rotor, which complicates its detection under non-stationary operating conditions of the motor. Firstly, experimental results were performed first under healthy and mechanical load unbalance cases, for different load levels under steady-state operating conditions to evaluate th…

Engineeringcondition monitoringSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilaw.inventionelectromagnetical quantitieWaveletRotorlawInduction motorelectrical quantitieMechanical loadrotating speedRotor (electric)Condition monitoringharmonic componentTime-frequency analysicurrent signature analysiTransient analysiSteady-statewavelet transformsmotor radial vibration signature analysis techniquemechnical load unbalanceHarmonicwavelet analysimotor axial vibration signature analysis techniquemotor vibration signature analysiApproximation methodtime-varying conditionVibrationvibration measurementmechanical quantitienonstationary operating conditionControl theorymechanical unbalanceSensitivity (control systems)vibration signals analysirotor imbalancewavelet transformvibration signature analysiRenewable Energy Sustainability and the Environmentrotor faultbusiness.industryfault diagnosiFFT analysifast Fourier transformVibrationdouble cage induction motor loadignal processingbusinessInduction motor2013 International Conference on Renewable Energy Research and Applications (ICRERA)
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Use of Time-Frequency map combined with DBSCAN algorithm for separation of partial discharge pulses under DC voltage

2022

The Phase-Resolved-Partial-Discharge pattern (PRPD) is a conventional technique used for the evaluation of partial discharges (PD) phenomena in High-Voltage-Alternating-Current (HVAC) systems. This map is constructed by plotting the peak of each detected pulses as a function of the phase angle of the supply voltage. Therefore it is obvious that this technique cannot be used for the analysis of data from PD mesaurement under different supply voltage condition (DC). The aim of this paper is to evaluate the application of the Time-Frequency map (TF map) for the analysis of a dataset obtained from PD measurement under DC voltage. A density-based clustering algorithm was also used to gain more i…

Settore ING-IND/31 - ElettrotecnicaTime-Frequency mapPDDensity-Based clustering algorithmPartial Discharge
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