Results 21 to 30 of about 292,141 (249)
Using The Probabilistic Fractal Dimension to Decide if a Time Series is Chaotic [PDF]
In this paper, we use several ways to distinguish between the deterministic time series and stochastic white noise by using correlation exponent test and the BDS test ( Brock Deckert Scheinkman ) ,through simulating a large number of data for testing the
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An empirical comparison of information-theoretic criteria in estimating the number of independent components of fMRI data. [PDF]
BACKGROUND: Independent Component Analysis (ICA) has been widely applied to the analysis of fMRI data. Accurate estimation of the number of independent components of fMRI data is critical to reduce over/under fitting.
Mingqi Hui +4 more
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Reduction of magnetic noise limits of orthogonal fluxgate sensor
We have further lowered the white noise of an orthogonal fluxgate to about 0.3 pT/√Hz @ 8 Hz. So far, this is the lowest noise reported for a fluxgate magnetometer.
Michal Dressler +2 more
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Differential effects of white noise in cognitive and perceptual tasks
Beneficial effects of noise on higher cognition have recently attracted attention. Hypothesizing an involvement of the mesolimbic dopamine system and its functional interactions with cortical areas, the current study aimed to demonstrate a facilitation ...
Nora Alicia Herweg +2 more
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Application status quo of white noise therapy in clinical nursing of newborn
This paper expounded the theory of white noise therapy,discussed the application status of white noise therapy in the clinical nursing.It also pointed out that white noise therapy had positive effects on stabilizing newborn's vital signs,facilitating ...
REN Xiangfang, YANG Mei
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Vibration Noise Modeling for Measurement While Drilling System Based on FOGs
Aiming to improve survey accuracy of Measurement While Drilling (MWD) based on Fiber Optic Gyroscopes (FOGs) in the long period, the external aiding sources are fused into the inertial navigation by the Kalman filter (KF) method.
Chunxi Zhang +4 more
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The Relationship of Time Span and Missing Data on the Noise Model Estimation of GNSS Time Series
Accurate noise model identification for GNSS time series is crucial for obtaining a reliable GNSS velocity field and its uncertainty for various studies in geodynamics and geodesy. Here, by comprehensively considering time span and missing data effect on
Xiwen Sun +7 more
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Assessment of noise in time series analysis for Buoy tide observations
To extract valid results from time series analysis of tides observations, noise reduction is vital. This study aimed to use a precise statistical model to investigate noise types.
Saeed Farzaneh +3 more
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The operators of stochastic differentiation, which are closely related with the extended Skorohod stochastic integral and with the Hida stochastic derivative, play an important role in the classical (Gaussian) white noise analysis.
M.M. Dyriv, N.A. Kachanovsky
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While both periodic narrowband noise and white noise are significant sources of interference in the detection and localization of partial discharge (PD) signals in power cables, existing research has focused nearly exclusively on white noise suppression.
Kang Sun +3 more
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