Results 21 to 30 of about 37,062,975 (290)
Feature Extraction Methods for Electroretinogram Signal Analysis: A Review
IEEE Access, 2021 Feature extraction is an essential aspect of electroretinogram (ERG) signal analysis. The extracted features are beneficial to analyze the signal further and compress the signal for storage or transmission purposes.
Soroor Behbahani +2 more
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Frontiers in Neurology, 2019 Epilepsy with Centrotemporal Spikes (ECTS) is the most common form of self-limited focal epilepsy. The pathophysiological mechanisms by which ECTS induces neuropsychological impairment in 15–30% of affected children remain unclear.
Emilie Bourel-Ponchel +6 more
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A general theory on frequency and time–frequency analysis of irregularly sampled time series based on projection methods – Part 1: Frequency analysis [PDF]
Nonlinear Processes in Geophysics, 2018 We develop a general framework for the frequency analysis of irregularly sampled time series. It is based on the Lomb–Scargle periodogram, but extended to algebraic operators accounting for the presence of a polynomial trend in the model for the data,
G. Lenoir, M. Crucifix, M. Crucifix
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Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques [PDF]
, 2013 Damage to the surface of railway wheels and rails commonly occurs in most railways. If not detected, it can result in rapid deterioration and possible failure of rolling stock and infrastructure components causing higher maintenance costs.
Liang, B. +7 more
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Time-frequency statistical characteristics of cyclostationary signals [PDF]
, 1998 Time-frequency statistical characteristics of cyclostationary signals are studied. The characteristics considered are real and complex instantaneous autospectra.
Vokurka, Karel
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A new transform for time-frequency analysis
IEEE Transactions on Signal Processing, 1992 The psi-decomposition of a signal, in which the signal is written as a weighted sum of certain elementary synthesizing functions, is described. The set S of synthesizing functions consists of dilated and translated copies of two parent functions, which are concentrated in both the time and the frequency domains.
Kumar, Arun +3 more
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Remote Sensing, 2018 The maneuvering target echo of high-resolution radar can be expressed as a multicomponent polynomial phase signal (mc-PPS). However, with improvements in radar resolution and increases in the synthetic period, classical time frequency analysis methods ...
Guochao Lao +4 more
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Time–Frequency analysis of localization operators
Journal of Functional Analysis, 2003 Let \(T_x f\) and \(M_\omega f\) denote the translation \(T_x f(t)=f(t-x)\) and the modulation \(M_\omega f (t)=e^{2\pi i\omega t} f(t)\) operators, respectively, and let \(V_g (x, \omega)=\int_{\mathbb{R}^d} f(t)\overline{g(t-x)}e^{-2\pi i\omega t}dt\) denote the short-time Fourier transform of \(f\in {\mathcal S}^\prime (\mathbb{R}^d) \) with respect
CORDERO, Elena, K. Gröchenig
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Frontiers in Behavioral NeuroscienceObjectiveThis study aimed to investigate the mechanisms underlying impaired sustained attention under positive acceleration stress.MethodsWe used a lower body negative pressure model to simulate positive acceleration stress and employed ...
Yang Liao +6 more
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Data-driven time–frequency analysis
Applied and Computational Harmonic Analysis, 2013 In this paper, we introduce a new adaptive data analysis method to study trend and instantaneous frequency of nonlinear and non-stationary data. This method is inspired by the Empirical Mode Decomposition method (EMD) and the recently developed compressed (compressive) sensing theory.
Hou, Thomas Y., Shi, Zuoqiang
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