Results 31 to 40 of about 12,669,956 (291)
Adaptive filter with Riemannian manifold constraint
Scientific Reports, 2023 The adaptive filtering theory has been extensively developed, and most of the proposed algorithms work under the assumption of Euclidean space. However, in many applications, the data to be processed comes from a non-linear manifold.
Jose Mejia +3 more
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Forecasting Nonlinear Systems with LSTM: Analysis and Comparison with EKF
Sensors, 2021 Certain difficulties in path forecasting and filtering problems are based in the initial hypothesis of estimation and filtering techniques. Common hypotheses include that the system can be modeled as linear, Markovian, Gaussian, or all at one time ...
Juan Pedro Llerena Caña +2 more
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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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Multilevel particle filters for the non-linear filtering problem in continuous time [PDF]
Statistics and Computing, 2020 In the following article we consider the numerical approximation of the non-linear filter in continuous-time, where the observations and signal follow diffusion processes. Given access to high-frequency, but discrete-time observations, we resort to a first order time discretization of the non-linear filter, followed by an Euler discretization of the ...
Ajay Jasra, Fangyuan Yu, Jeremy Heng
openaire +4 more sources
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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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
doaj
Ultrasonic Detection of Erosion on Pipe Elbow based on FrFT Filtering
Shiyou jixie, 2022 As a low cost and high-efficiency nondestructive testing technology, ultrasonic non-axisymmetric exciting guided wave can detect the thinned section of pipe elbow.
Li Ning +4 more
doaj
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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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
Linear filtering with fractional Brownian motion in the signal and observation processes [PDF]
, 1999 Integral equations for the mean-square estimate are obtained for the linear filtering problem, in which the noise generating the signal is a fractional Brownian motion with Hurst index h∈(3/4,1) and the noise in the observation process includes a ...
Kloeden, Peter E. +2 more
core +1 more source