Results 31 to 40 of about 230,512 (314)
Temporal Non-Local Means Filtering Reveals Real-Time Whole-Brain Cortical Interactions in Resting fMRI. [PDF]
PLoS ONE, 2016 Intensity variations over time in resting BOLD fMRI exhibit spatial correlation patterns consistent with a set of large scale cortical networks. However, visualizations of this data on the brain surface, even after extensive preprocessing, are dominated ...
Chitresh Bhushan +6 more
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Robust H infty filtering for uncertain differential linear repetitive processes
, 2008 The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length.
Rogers, E +4 more
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Localizing the Ensemble Kalman Particle Filter
Tellus: Series A, Dynamic Meteorology and Oceanography, 2017 Ensemble methods such as the Ensemble Kalman Filter (EnKF) are widely used for data assimilation in large-scale geophysical applications, as for example in numerical weather prediction.
Sylvain Robert, Hans R. Künsch
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Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models [PDF]
, 2008 The relationship between short-term exposure to air pollution and mortality or morbidity has been the subject of much recent research, in which the standard method of analysis uses Poisson linear or additive models.
Shaddick, G +3 more
core +1 more source
Non-linear and signal energy optimal asymptotic filter design [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 The paper studies some connections between the main results of the well known Wiener-Kalman-Bucy stochastic approach to filtering problems based mainly on the linear stochastic estimation theory and emphasizing the optimality aspects of the achieved ...
Josef Hrusak, Vaclav Cerny
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Frontiers in Physiology, 2019 Electrocardiography is the gold standard for electrical heartbeat activity, but offers no direct measurement of mechanical activity. Mechanical cardiac activity can be assessed non-invasively using, e.g., ballistocardiography and recently, medical radar ...
Yu Yao +3 more
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Advances in Difference Equations, 2020 We investigate non-Gaussian noise second-order filtering and fixed-order smoothing problems for non-Gaussian stochastic discrete systems with packet dropouts.
Huihong Zhao +3 more
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The optimization of a class of non-linear filters
Proceedings of the IEE Part C: Monographs, 1960 Some time invariant non-linear filters of Zadeh's class ? are optimized. A method is proposed for the physical realization of these filters as multipath structures, which consist of, in general, an orthonormal set of non-linear zero memory polynomial functions, each of which is followed by a linear memory network in cascade.
openaire +3 more sources
Smoothing Hazard Functions and Time-Varying Effects in Discrete Duration and Competing Risks Models [PDF]
, 1995 State space or dynamic approaches to discrete or grouped duration data with competing risks or multiple terminating events allow simultaneous modelling and smooth estimation of hazard functions and time-varying effects in a flexible way. Full Bayesian or
Stefan Wagenpfeil +3 more
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Adaptive Unscented Kalman Filter for Target Tracking with Unknown Time-Varying Noise Covariance
Sensors, 2019 The unscented Kalman filter (UKF) is widely used to address the nonlinear problems in target tracking. However, this standard UKF shows unstable performance whenever the noise covariance mismatches.
Baoshuang Ge +4 more
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