Search results for "short-time Fourier transform"

showing 10 items of 19 documents

Understanding the effect of window length and overlap for assessing sEMG in dynamic fatiguing contractions: A non-linear dimensionality reduction and…

2020

The Short-Time Fourier transform (STFT) is a helpful tool to identify muscle fatigue with clinical and sports applications. However, the choice of STFT parameters may affect the estimation of myoelectrical manifestations of fatigue. Here, we determine the effect of window length and overlap selections on the frequency slope and the coefficient of variation from EMG spectrum features in fatiguing contractions. We also determine whether STFT parameters affect the relationship between frequency slopes and task failure. Eighty-eight healthy adult men performed one-leg heel-rise until exhaustion. A factorial design with a window length of 50, 100, 250, 500, and 1000 ms with 0, 25, 50, 75, and 90…

AdultMaleCoefficient of variation0206 medical engineeringBiomedical EngineeringBiophysics02 engineering and technologyElectromyography03 medical and health sciencessymbols.namesake0302 clinical medicineIsometric ContractionmedicineCluster AnalysisHumansOrthopedics and Sports MedicineMuscle SkeletalCluster analysisMathematicsFourier AnalysisMuscle fatiguemedicine.diagnostic_testElectromyographybusiness.industryDimensionality reductionRehabilitationShort-time Fourier transformPattern recognitionFunction (mathematics)020601 biomedical engineeringFourier transformMuscle FatiguesymbolsArtificial intelligencebusiness030217 neurology & neurosurgeryMuscle ContractionJournal of Biomechanics
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Localization Operators and an Uncertainty Principle for the Discrete Short Time Fourier Transform

2014

Localization operators in the discrete setting are used to obtain information on a signalffrom the knowledge on the support of its short time Fourier transform. In particular, the extremal functions of the uncertainty principle for the discrete short time Fourier transform are characterized and their connection with functions that generate a time-frequency basis is studied.

Article SubjectNon-uniform discrete Fourier transformDiscrete-time Fourier transformApplied Mathematicslcsh:MathematicsMathematical analysisShort-time Fourier transformlcsh:QA1-939Fractional Fourier transformDiscrete Fourier transform (general)symbols.namesakeFourier transformDiscrete sine transformDiscrete Fourier seriessymbolsAnalysisMathematicsAbstract and Applied Analysis
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Ability of short-time Fourier transform method to detect transient changes in vagal effects on hearts: a pharmacological blocking study.

2006

Conventional spectral analyses of heart rate variability (HRV) have been limited to stationary signals and have not allowed the obtainment of information during transient autonomic cardiac responses. In the present study, we evaluated the ability of the short-time Fourier transform (STFT) method to detect transient changes in vagal effects on the heart. We derived high-frequency power (HFP, 0.20–0.40 Hz) as a function of time during active orthostatic task (AOT) from the sitting to standing posture before and after selective vagal (atropine sulfate 0.04 mg/kg) and sympathetic (metoprolol 0.20 mg/kg) blockades. The HFP minimum point during the first 30 s after standing up was calculated and…

Cardiac responseAdultAtropineMalemedicine.medical_specialtySympathetic Nervous SystemPhysiologyAdrenergic beta-AntagonistsPostureBlood PressureMuscarinic AntagonistsDizzinessOrthostatic vital signsPhysiology (medical)Internal medicinemedicineHeart rate variabilityHumansFourier AnalysisChemistryBlocking (radio)Short-time Fourier transformHeartVagus NerveAutonomic AgentsTime–frequency analysisSurgeryAutonomic nervous systemCardiologyTransient (oscillation)Cardiology and Cardiovascular MedicineMetoprololAmerican journal of physiology. Heart and circulatory physiology
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Compactness of time-frequency localization operators on L2(Rd)

2006

Abstract In this paper, we consider localization operators on L 2 ( R d ) defined by symbols in a subclass of the modulation space M ∞ ( R 2 d ) . We show that these operators are compact and that this subclass is “optimal” for compactness.

Discrete mathematicsModulation spaceCompact operatorApproximation propertyShort-time Fourier transformModulation spaceLocalization operatorOperator theoryCompact operatorCompact operator on Hilbert spaceSubclassCompact spaceTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESShort-time Fourier transformAnalysisComputer Science::Formal Languages and Automata TheoryMathematicsJournal of Functional Analysis
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Fractional wavelet transform

1997

The wavelet transform, which has had a growing importance in signal and image processing, has been generalized by association with both the wavelet transform and the fractional Fourier transform. Possible implementations of the new transformation are in image compression, image transmission, transient signal processing, etc. Computer simulations demonstrate the abilities of the novel transform. Optical implementation of this transform is briefly discussed.

Discrete wavelet transformLifting schemeComputer scienceNon-uniform discrete Fourier transformMaterials Science (miscellaneous)Stationary wavelet transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTop-hat transformImage processingData_CODINGANDINFORMATIONTHEORYIndustrial and Manufacturing EngineeringDiscrete Fourier transformWavelet packet decompositionsymbols.namesakeDiscrete Fourier transform (general)Multidimensional signal processingOpticsWaveletHartley transformBusiness and International ManagementS transformConstant Q transformContinuous wavelet transformSignal processingbusiness.industrySecond-generation wavelet transformFourier opticsShort-time Fourier transformWavelet transformFractional wavelet transformFractional Fourier transformTime–frequency analysisFourier transformsymbolsHarmonic wavelet transformbusinessAlgorithmImage compression
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Performance analysis of optical imaging systems based on the fractional fourier transform

1998

Some image quality parameters, such as the Strehl ratio and the optical transfer function, are analysed in the generalized phase-space, or x-p domain, of the fractional Fourier transform associated with a modified one-dimensional pupil function. Some experimental results together with computer simulations are performed which illustrate the tolerance to defocus of different apertures.

Discrete-time Fourier transformStrehl ratioIngenieríaDiscrete Fourier transformsymbols.namesakePupil functionOpticsOptical transfer functionPupil functionComputer Science::Distributed Parallel and Cluster ComputingCiencias ExactasPhysicsbusiness.industryPhysicsAstrophysics::Instrumentation and Methods for AstrophysicsShort-time Fourier transformStrehl ratioOpticsDiscrete Fourier transformFourier analysisAtomic and Molecular Physics and OpticsFractional Fourier transformFractional Fourier transformOptical transfer functionFourier analysisShort-time Fourier transformsymbolsbusinessDiscrete-time Fourier transformJournal of Modern Optics
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The influence of the propagation path length on the results of the time–frequency analysis of the acoustic emission generated by partial discharges i…

2006

The paper presents the measurement results of the acoustic emission (AE) signals generated by partial discharges (PDs) at various thickness of the oil insulation layer. For the AE signals registered the time - frequency analysis was carried out based on the use of the short-time Fourier transform (STFT). Two- and three-dimensional spectrograms of the power spectrum density and the amplitude spectrum were determined. The evaluation of the influence of the propagation path length of the AE signal on the results of the time - frequency analysis was performed through the analysis of the spectrograms determined.

Frequency analysisMaterials scienceAcousticsShort-time Fourier transformGeneral Physics and AstronomySpectral densityTime–frequency analysislaw.inventionComputer Science::Hardware Architecturesymbols.namesakeFourier transformAcoustic emissionPath lengthComputer Science::SoundlawsymbolsSpectrogramJournal de Physique IV (Proceedings)
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Annihilating sets for the short time Fourier transform

2010

Abstract We obtain a class of subsets of R 2 d such that the support of the short time Fourier transform (STFT) of a signal f ∈ L 2 ( R d ) with respect to a window g ∈ L 2 ( R d ) cannot belong to this class unless f or g is identically zero. Moreover we prove that the L 2 -norm of the STFT is essentially concentrated in the complement of such a set. A generalization to other Hilbert spaces of functions or distributions is also provided. To this aim we obtain some results on compactness of localization operators acting on weighted modulation Hilbert spaces.

Mathematics(all)Modulation spacePure mathematicsLocalization operatorsUncertainty principleGeneral MathematicsMathematical analysisShort-time Fourier transformHilbert spaceHilbert spectral analysissymbols.namesakeModulation spacesCompact spaceNorm (mathematics)Uncertainty principlesymbolsAnnihilating setsShort time Fourier transformMathematicsAdvances in Mathematics
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A Linear Cost Algorithm to Compute the Discrete Gabor Transform

2010

In this paper, we propose an alternative efficient method to calculate the Gabor coefficients of a signal given a synthesis window with a support of size much lesser than the length of the signal. The algorithm uses the canonical dual of the window (which does not need to be calculated beforehand) and achieves a computational cost that is linear with the signal length in both analysis and synthesis. This is done by exploiting the block structure of the matrices and using an ad hoc Cholesky decomposition of the Gabor frame matrix.

Matrix (mathematics)Signal ProcessingGabor waveletShort-time Fourier transformGabor transformElectrical and Electronic EngineeringAlgorithmSparse matrixMathematicsMatrix decompositionCholesky decompositionTime–frequency analysisIEEE Transactions on Signal Processing
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On Fourier integral operators with Hölder-continuous phase

2018

We study continuity properties in Lebesgue spaces for a class of Fourier integral operators arising in the study of the Boltzmann equation. The phase has a H\"older-type singularity at the origin. We prove boundedness in $L^1$ with a precise loss of decay depending on the H\"older exponent, and we show by counterexamples that a loss occurs even in the case of smooth phases. The results can be seen as a quantitative version of the Beurling-Helson theorem for changes of variables with a H\"older singularity at the origin. The continuity in $L^2$ is studied as well by providing sufficient conditions and relevant counterexamples. The proofs rely on techniques from Time-frequency Analysis.

Modulation spaceApplied Mathematics010102 general mathematicsMathematical analysisShort-time Fourier transformPhase (waves)Hölder conditionFourier integral operators; modulation spaces; short-time Fourier transform; Analysis; Applied Mathematics01 natural sciencesBoltzmann equationFourier integral operatorMathematics - Functional Analysis010101 applied mathematicsSingularityshort-time Fourier transformFourier integral operators0101 mathematicsLp spacemodulation spacesMathematical PhysicsAnalysisMathematics
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